The search for your future starts here

What will your job look like?

• Act as single point of business & technical ownership for assigned OEM accounts, managing the relationship with the OEM on behalf of Mobileye
• Build, maintain, and expand long-term personal relationships at VP level and working level (e.g. VP ADAS/AD driving functions, VP ECU, system architects, function owners etc.)
• Own the business lifecycle of OEM engagements: Opportunity identification, RFIs / RFQs, Pricing strategy and value justification, Negotiation support, Program nomination and SOP follow-through    
• Drive revenue growth, design-wins, and platform commitments across ADAS and automated-driving portfolios.
• Lead technical and business discussions on: OEM platform architecture roadmap & alignment with Mobileye's roadmap, HW/SW products and features, Volume ramp up and lifecycle strategy
• Coordinate internal stakeholders (product, R&D, architecture, legal, finance) to present technical & business concepts to the customer, and close complex multi-year OEM deals.
• Translate OEM technical requirements into commercially viable solutions in collaboration and alignment with internal engineering teams.
• Provide continuous market feedback to Mobileye product and leadership teams to influence product roadmap and go-to-market strategy

All you need is:

• 8+ years in automotive OEM-facing roles, such as: Account Executive / Key Account Manager, Technical Sales / Business Development, OEM Program or Systems leadership with commercial exposure.
• Demonstrated personal network and working relationships within German (and global) automotive OEMs.
• Proven ability to engage both technical and executive stakeholders.
• Strong understanding of the following: ADAS / automated-driving systems, Vehicle E/E architectures, OEM sourcing and decision-making processes.
• Experience leading complex technical and business negotiations involving HW/SW solutions.
• Prior experience selling: ADAS, autonomous-driving, perception, or automotive semiconductor solutions - an advantage
• Familiarity with: OEM experience at mid-senior technical & business roles, Tier-1 / Tier-2 ecosystems, Automotive regulatory and safety frameworks - an advantage
• Technical understanding in computer vision, driving functions, semiconductors, or embedded SW - an advantage
• Fluency in German - an advantage

What Will Your Job Look Like

• Analyze the present and future landscape of the autonomous vehicle and mobility ecosystem, identifying key developments in technology, industry dynamics, and emerging players
• Identify high-value information from unconventional sources, including conversations, events, and informal market signals
• Translate fragmented or ambiguous inputs into concise, strategic briefs that inform decision-makers
• Build and maintain stakeholder and ecosystem maps to support internal initiatives and long-term planning
• Collaborate closely with product, strategy, and business teams to ensure intelligence is timely, relevant, and actionable

All You Need Is:

• At least 5 years of experience in an intelligence-focused role (military, government, consulting, or private sector), with a proven ability to collect, analyze, and communicate complex information
• Automotive or mobility industry knowledge is an advantage, but not required
• Passion for intelligence work, with strong investigative instincts and high attention to detail
• Strong interpersonal and communication skills, including the ability to interpret nuance, read between the lines, and present insights clearly and impactfully
• Ability to work independently and collaboratively in ambiguous, fast-changing environments
• High level of professionalism and discretion. Comfortable handling sensitive information and operating in high-trust settings
• Experience using large language models (LLMs) for research and synthesis is an advantage
• Excellent written and spoken English and Hebrew. Additional languages are a plus
• Willingness to travel occasionally (approximately once per month)

What Will Your Job Look Like?

• Analyze the present and future landscape of the autonomous vehicle and mobility ecosystem, identifying key developments in technology, industry dynamics, and emerging players
• Identify high-value information from unconventional sources, including conversations, events, and informal market signals
• Translate fragmented or ambiguous inputs into concise, strategic briefs that inform decision-makers
• Build and maintain stakeholder and ecosystem maps to support internal initiatives and long-term planning
• Collaborate closely with product, strategy, and business teams to ensure intelligence is timely, relevant, and actionable

All You Need Is:

• At least 5 years of experience in an intelligence-focused role (military, government, consulting, or private sector), with a proven ability to collect, analyze, and communicate complex information
• Automotive or mobility industry knowledge is an advantage, but not required
• Passion for intelligence work, with strong investigative instincts and high attention to detail
• Strong interpersonal and communication skills, including the ability to interpret nuance, read between the lines, and present insights clearly and impactfully
• Ability to work independently and collaboratively in ambiguous, fast-changing environments
• High level of professionalism and discretion. Comfortable handling sensitive information and operating in high-trust settings
• Experience using large language models (LLMs) for research and synthesis is an advantage
• Excellent written and spoken English and Hebrew. Additional languages are a plus
• Willingness to travel occasionally (approximately once per month)

What will your job look like:

• Lead local execution of L2++ ADAS programs including NOP, driving, and parking functions, translating system and product requirements into committed delivery plans with consistent on-time milestones and release performance.
• Serve as the primary local interface to the OEM customer, in close alignment with the global project team.
• Support program scope, timelines, dependencies, and risks across perception, sensor fusion, path planning, control algorithms, validation, and vehicle integration, ensuring high delivery predictability.
• Drive execution governance and support decision-making, ensuring clear ownership, rapid issue resolution, and minimal late-stage escalations impacting delivery or quality.
• Coordinate cross-functional and partner teams including internal engineering, sensor suppliers, contract manufacturers, and OEMs to ensure stable integration, validation readiness, and tight control of the critical path.
• Deliver India-ready L2++ solutions that address local traffic behavior, regulatory requirements, validation environments, localization, and cost targets without scope or schedule overruns.
• Own program health and quality, proactively removing bottlenecks to improve delivery velocity, first-time-right releases, validation pass rates, and overall KPI performance.

All you need is:

• More than 10 years of experience in technical roles, preferably in systems engineering and/or systems validation, with ADAS and AV expertise.
• More than 5 years of experience in project management, delivery ownership, and stakeholder management.
• B.Tech in Electronics, Electrical, Mechanical, or Computer Science. M.Tech or MBA are a strong advantage.
• PMP or SAFe Agile certification is a strong advantage.
• Fluent in English and Hindi, written and spoken. Fluency in Tamil is an advantage.
• Willingness to travel across India including Bangalore, Chennai, Pune, and Delhi.
• Experience working with Mobileye products is a strong advantage.

What will your job look like?

• Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end.
• Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery.
• Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms across 12 to 24 month sales cycles.
• Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders.
• Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments.
• Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients.
• Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward.
• Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments.

All you need is:

• BA degree; an MBA is a plus.
• 5 years of experience in a similar high tech role, demonstrating your expertise in a fast paced environment with exposure to long sales cycles and complex deal structures.
• Strong background in technical sales, capable of navigating complex negotiations and sales processes with ease while positioning value rather than selling pure technical features.
• Strong analytical skills, with the ability to interpret volumes, pricing, and commercial data to support decision making.
• A natural ability to connect with clients and build long term, trust based relationships at senior levels.
• Experience in complex projects involving both HW and SW developments.
• Detail oriented and capable of keeping the big picture in mind to make strategic decisions.
• High level of proficiency in both verbal and written English to engage effectively with global stakeholders.
• Solid understanding of technical business principles, particularly in the automotive ADAS/AV market with the ability to maintain credibility in front of engineering teams without being a deep technical expert.
• Experience with tools like Jira and Salesforce to enhance productivity and track engagement efficiently.
• High level of professionalism, strong ownership mentality, and the ability to work cross functionally with a team while independently driving outcomes.

What will your job look like?

• Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end.
• Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery.
• Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms across 12 to 24 month sales cycles.
• Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders.
• Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments.
• Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients.
• Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward.
• Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments.

All you need is:

• BA degree; an MBA is a plus.
• 5 years of experience in a similar high tech role, demonstrating your expertise in a fast paced environment with exposure to long sales cycles and complex deal structures.
• Strong background in technical sales, capable of navigating complex negotiations and sales processes with ease while positioning value rather than selling pure technical features.
• Strong analytical skills, with the ability to interpret volumes, pricing, and commercial data to support decision making.
• A natural ability to connect with clients and build long term, trust based relationships at senior levels.
• Experience in complex projects involving both HW and SW developments.
• Detail oriented and capable of keeping the big picture in mind to make strategic decisions.
• High level of proficiency in both verbal and written English to engage effectively with global stakeholders.
• Solid understanding of technical business principles, particularly in the automotive ADAS/AV market with the ability to maintain credibility in front of engineering teams without being a deep technical expert.
• Experience with tools like Jira and Salesforce to enhance productivity and track engagement efficiently.
• High level of professionalism, strong ownership mentality, and the ability to work cross functionally with a team while independently driving outcomes.

The Position: AI Algorithm Engineer

What will your job look like:

• Develop and improve deep learning models for perception tasks such as object detection/tracking, semantic segmentation, etc.
• Work with large-scale driving datasets to train and evaluate machine learning models
• Optimize models for performance, accuracy, and robustness across diverse driving scenarios
• Analyze edge cases and failure modes to continuously improve perception performance
• Implement scalable training, validation, and evaluation methodologies

We expect you to:

• Possess Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields
• Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
• Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch or TensorFlow.
• Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.)
• Highly motivated self-starter/self-learner in full stack of technologies.
• Strong oral/written communication in Mandarin and English. And a great team player.

What will your job look like:

• Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems
• Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks
• Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning
• Combine learning-based methods with classical optimization and geometric algorithms
• Own the entire lifecycle from prototyping to deployment
• Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions
• Drive innovative solutions for high-precision localization at production scale

All you need is:

• 5+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must
• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance
• Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals
• Strong analytical skills, a sense of ownership, and the ability to work collaboratively

The Position:

What will your job look like:

• Develop and refine algorithms for detecting and modeling map features (e.g., geometry, semantic, etc.) from multi-modal sensor data.
• Implement spatial reasoning and topological mapping techniques to structure HD map layers.
• Create scalable pipelines for map data creation, optimization, and map updates using AI/ML models and traditional geometric approaches.
• Work on large-scale datasets from autonomous driving fleets to build, validate, and improve algorithms.
• Write clean, maintainable, testable code and conduct code reviews. Inspire others to be their best in daily job.

All you need is:

• Ph.D. or M.S. in Computer Science, Electronic Engineering, or related fields.
• Outstanding coding skills and proficient in algorithms with Python, C/C++, etc.
• Strong product background and hands on experiences in building product-quality computer vision, deep learning and general AI technologies. Intensive experience with at least one DL framework such as PyTorch and TensorFlow.
• 3+ years of experience in algorithm development for mapping, robotics, or computer vision applications
• Highly motivated self-starter/self-learner in full stack of technologies.
• Strong oral/written communication in Mandarin and English. And a great team player.

Nice to have:

• Experience with HD map structures, geospatial data processing, online/offline mapping/planning algorithms will be a plus (e.g., SLAM, MAPTR, VAD etc)
• Interested in and thoughtful about the diverse AI technology (CNNs, GNNs, transformer and different domains of detection, segmentation, LLM, AGI, etc.)

What will your job look like:

• Research, design and develop innovative algorithmic solutions.
• Mathematical modeling and abstraction of real-life problems.
• Code design, implementation, and hands-on development.

All you need is:

• 5+ years of experience in algorithm development
• Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
• PhD- advantage.
• Strong coding skills in C++ and Python.
• Outstanding mathematical capabilities
• Capable of self-learning scientific articles.

What will your job look like:

• Research, design and develop innovative algorithmic solutions.
• Mathematical modeling and abstraction of real-life problems.
• Code design, implementation, and hands-on development.

All you need is:

• 5+ years of experience in algorithm development
• Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
• PhD- advantage.
• Strong coding skills in C++ and Python.
• Outstanding mathematical capabilities
• Capable of self-learning scientific articles.

What will your job look like:

• Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
• Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
• Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
• Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

All you need is:

• M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• 3+ years of industry experience in Deep Learning and Computer Vision.
• Excellent proficiency in Python and PyTorch.
• Strong problem-solving, research, and analytical thinking skills.
• Experience with Generative AI methods (Diffusion Models, GANs, etc.).
• Experience with Vision-Language Models (VLMs) and Multi-modal learning.
• Publications in top-tier conferences (CVPR, NeurIPS, ECCV, etc.).
• Experience with Linux, AWS, Docker, and virtual environments.
• Knowledge of classic computer vision.

What will your day look like:

• Developing and configuring AUTOSAR modules, below the RTE
• Creating and implementing software components on top of the RTE
• Create design documents, SW requirements, SW unit tests and test cases
• Establish bi-directional traceability between SW requirements and SW design
• Optimization of the design or code in regards to consumption of resources
• Debugging on bench and in vehicle, using Lauterbach debuggers, DLT and XCP
• Participate in design and code and requirements reviews
• Perform AUTOSAR embedded software integration
• Troubleshooting and root cause analysis of issues
• Participation in internal, customer, supplier and OEM meetings
• Knowledge transfer from and into the development teams

All you need is:

• Bachelor’s Degree in Electrical Engineering or Software Engineering or equivalent technical field from an accredited institution, Masters is a strong advantage
• 4 years of experience on Embedded Software in automotive electrical & electronics industry
• AUTOSAR expertise, Adaptive AUTOSAR is an advantage
• Strong customer orientation, willingness to meet deadlines, and self-management skills
• Deep passion for solving problems to resolution, including root cause analysis skills
• Ability to work and collaborate in a dynamic and global team environment and adapt to changing priorities and customer needs

Advantages:

• Knowledge of scripting tools like Python, CAPL - An advantage
• Experience with software engineering tools (JIRA, GIT) - An advantage
• Experience with UDS protocol / Bootloader / OEM Specific - An advantage
• Advanced experience with NXP processors and QNX OS
• Advanced experience with AUTOSAR abstraction (Mcu, Wdg, Gpt, Dio, Port, Icu, …)
• Advanced experience with AUTOSAR BSW and RTE, architecture, specifications, and configuration tools (eg. ElektroBitTresOs, Vector DaVinci)
• Strong fundamentals programming in C, embedded system concepts, and software build process
• Experience with software engineering process models (Automotive Spice (ISO 15504), Functional Safety (ISO 26262), Agile, MISRA C)
• Experience with Vector products (CANoe, CANape, vFlash, vT Family)
• Experience with debugging methods and tools (e.g., Lauterbach Trace32)

what will your job look like:

• Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery.
• Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency.
• Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning.
• Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs).

   

all you need is:

• 2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment.
• 5+ years of deep backend experience building high-scale, distributed cloud architectures.
• Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent)
• Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes)
• Proficiency in Node.js and/or Python
• Solid understanding of high performance relational/NoSQL databases
• Experience with task queues and stream processing frameworks (Celery, Spark etc.)-Advantage
• Background in geospatial data processing or handling- Advantage
• Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats).

What your job will look like:

• You will develop mostly in C++ (and Python)
• You will develop, design, and maintain Real-Time oriented code, meeting high standards of memory and running-time requirements
• You will work both independently and in collaboration with other teams at Mobileye
• Support system integration

All you need is:

• Bachelor's degree in Exact Sciences, with interest and experience in Computer Science or Software Engineering
• 3+ years of experience in SW development
• Knowledge of C/C++ with practical experience
• Good self-learning capabilities of new technologies and systems
• Good team player with capabilities to also work independently
• Knowledge of Git and GitLab with practical experience - Advantage
• Experience with Image Processing Algorithms - Advantage

What will your job look like:

• Deliver versions of the technology out to the project integration
• Work closely with development, release management, and validation teams
• Define and write offline tests for all the various projects 
• Dig into source code and scenarios in order to identify, triage, and prioritize issues
• Debug issues in Mobileye's production platforms where the root cause could span across multiple domains
• Maintain and review overall stability and resource utilization (CPU, RAM, Flash) of the system

All you need is:

• B.Sc. in computer science or similar field
• 2+ years experience with C++ code base
• 2+ years of experience with git / Gitlab / CI systems
• Experience in a Linux environment
• Experience with Python – advantage
• Experience with HW and SW integration – advantage
• Experience in Software Automation – advantage
• Ability to work independently on parallel tasks and quickly learn new technologies and systems
• Ability to fluently interpret system data to gain a full understanding of logged events
• Good communication and the ability to convey technical explanations of issues
• Strong attention to detail
• Demonstrate strong ability to prioritize and switch contexts quickly between different tasks
• Working in an unconventional work environment with irregular working hours

What will your job look like:

• Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
• Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
• Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
• Collaborate with cross-functional teams to understand requirements and develop solutions
• Optimize existing algorithms to improve performance and scalability

All you need is:

• M.Sc. in Computer Science, Electrical Engineering or a related field
• 3+ years of experience in developing Computer Vision algorithms
• Strong statistical analysis, mathematical, and problem-solving skills
• Ability to learn new technologies and techniques
• Independence, creativity and a proactive approach
• Experience with the automotive industry is an advantage

What will your job look like?

• Security Architecture Design – Develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
• Threat Modeling & Risk Assessment (TARA) – Perform Threat Analysis and Risk Assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
• Secure Communication – Implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
• Secure Software Design – Define and enforce security controls for APIs, middleware, and integration points between radar systems and other vehicle subsystems.
• Compliance & Standards – Ensure radar systems meet ISO 21434, UNECE WP.29, and other relevant automotive cybersecurity regulations.
• Collaboration with R&D – Work closely with radar engineers, embedded software developers, and system architects to embed security into the design process.
• Incident Response Support – Provide architectural guidance during security incidents involving radar systems.
• Technology Evaluation – Assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

All you need is:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Cybersecurity, or related field.
• 7+ years of experience in cybersecurity roles, with at least 3 years in architecture or senior design positions.
• Proven experience securing embedded systems, hardware connections, software modules, and real-time communication protocols.
• Strong background in system architecture - ability to design and analyze complex, multi-component systems and ensure security is integrated at every layer.
• Strong knowledge of cryptography, secure boot, firmware integrity verification, and secure API design.
• Experience with automotive cybersecurity standards (ISO 21434, UNECE WP.29).
• Understanding of CAN, Ethernet, and automotive communication protocols.
• Excellent communication and documentation abilities.
• Strong problem-solving mindset and ability to work in cross-disciplinary teams.
• Experience in radar system development or RF engineering - Advantage
• Knowledge of AI/ML security considerations - Advantage
• Certifications such as CISSP, CCSP, or CEH - Advantage

What will your job look like?

• Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for Mobileye’s products.
• Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
• Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
• Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
• Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
• Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
• Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
• Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the team’s work.

All you need is:

• M.Sc. or outstanding B.Sc. in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Leadership experience, management experience, or significant technical experience combined with strong potential and motivation to grow into a management role.
• Strong professional background in Computer Vision and Deep Learning.
• Hands-on experience developing deep learning algorithms using Python frameworks such as PyTorch or TensorFlow.
• Strong understanding of model training, data analysis and performance improvement.
• Experience with real-time, production-grade, or product-oriented deep learning systems - advantage.
• Strong problem-solving skills, creativity, independence, and the ability to handle complex problems where the solution is not always clear in advance.
• Ability to work in a structured way - define priorities, break down problems, plan execution, and drive tasks to completion.
• Strong communication and collaboration skills, self-awareness, and the ability to lead, mentor, and motivate people.

What will your job look like? 

• Define the ECU verification architecture: Build the end-to-end verification concept covering component, subsystem, and system levels, including entry/exit criteria and quality metrics
• Own requirements traceability and coverage: Ensure bidirectional traceability from system requirements to design artifacts and verification evidence; define and track coverage (functional, interface, diagnostic, and safety-related)
• Specify verification environments and tooling: Define test environment architecture, logging/trace strategy, fault injection approach, and tool qualification expectations; align on reusable frameworks and standards across programs
• Drive cross-functional technical alignment:  Work with HW, embedded SW, system architects, and validation leads to ensure designs are verifiable (DFV), interfaces are testable, and assumptions are reviewed and documented
• Lead verification planning for customer programs: Translate OEM/Tier 1 needs into verification requirements and deliverables; support technical reviews and audits with clear evidence packages
• Own risk management and escalation: Identify verification gaps and high-risk features; propose mitigation plans and drive execution across teams 

All you need is: 

• B.Sc. in Electrical Engineering / Computer Engineering / Computer Science (M.Sc. – advantage)
• 3+ years of Experience in System Architecture with strong knowledge in writing system and software requirements 
• 5+  years of experience in system verification / design verification / validation for embedded automotive or similar safety-critical systems
• Proven experience defining verification strategy and plans across multiple levels (component, subsystem, system), including coverage and quality KPIs
• Strong understanding of ECU architecture: MCUs/SoCs, memory, power, networking (CAN/CAN FD, Automotive Ethernet), diagnostics (UDS), boot and update flows
• Experience supporting OEM/Tier 1 technical reviews, assessments, and audits with structured evidence packages
• Excellent communication and stakeholder management skills; ability to lead without authority across R&D, suppliers, and customers
• Familiarity with System methodologies: Including customer requirements elicitation, analysis, specification, validation, and traceability 
• Experience with Autosar Classic/Adaptive and related tooling/ecosystems - advantage
• Experience with requirements and traceability tools (e.g., DOORS/ Polarion) and with structured review processes and documentation  - advantage
• Knowledge of automotive standards and safety mindset (ASPICE, ISO 26262) - advantage

What will your job look like:

• Clearly define the requirements. Research the hardware, firmware, and software existing support and define the solution to match the requirements.
• Hands-on resolution of complex issues
• Resolve issues raised during implementation stages or feedback from customers.
• Develop & communicate high-level designs and technical specifications
• Define responsibilities of system components and interfaces
• Identify risks and propose solutions in system designs
• Define aspects of development; appropriate technology, workflow and standards
• Evaluate existing system designs and propose improvements
• Collaborate with other architects
• Foster innovation through research, recommending the use of new technologies, processes or standards
• Prepare, lead and participate in design reviews
• Take part in all phases of the software development cycle

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
• At least 5 years of experience as a Software Architect \Senior Developer \Software Team Lead - Must
• Experience developing software for complex embedded products in c\c++ - Must
• Team player with a positive attitude and a cooperative mindset
• Deep understanding of technology and passion for what you do

What will your job look like:

• Performance verification of EyeQ SoC designs

• Development of hardware virtual platforms

• Running hardware benchmarks and correlating virtual platform results with silicon measurements

• Development of tracing and profiling tools for CPU performance analysis and optimization

• Close collaboration with hardware architects and software, OS, and algorithm teams

All you need is:

• BSc/MSc in Computer Science, Computer Engineering, or Electrical Engineering

• 5+ years of experience in C/C++ programming

• 5+ years of experience in embedded software development

• Experience with Python and shell scripting

• Strong communication and teamwork skills

• Experience with performance verification
• Experience with QEMU
• Experience with CPU benchmarking and performance analysis
• Experience with Embedded Linux
• Familiarity with assembly languages and hardware architecture concepts
• Experience with SystemC

What will your job look like?

• Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
• Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
• Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
• Drive key technical decisions, architectural trade-offs, and long-term roadmap.
• Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
• Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
• Take ownership of complex system-level debugging, performance optimization, and software quality.
• Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
• Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
• Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
• Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
• Strong debugging skills and experience resolving complex system-level and cross-component issues.
• Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
• Experience working with ARM/MIPS-based SoCs and microcontrollers.
• Proven experience leading design discussions and code reviews.
• Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
• Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
• Python or scripting experience for tooling and automation- Advantages.

What will your job look like?

• Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
• Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
• Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
• Drive key technical decisions, architectural trade-offs, and long-term roadmap.
• Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
• Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
• Take ownership of complex system-level debugging, performance optimization, and software quality.
• Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
• Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
• Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
• Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
• Strong debugging skills and experience resolving complex system-level and cross-component issues.
• Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
• Experience working with ARM/MIPS-based SoCs and microcontrollers.
• Proven experience leading design discussions and code reviews.
• Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
• Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
• Python or scripting experience for tooling and automation- Advantages.

What will your job look like?

• Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
• Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
• Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
• Drive key technical decisions, architectural trade-offs, and long-term roadmap.
• Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
• Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
• Take ownership of complex system-level debugging, performance optimization, and software quality.
• Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

All you need is:

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• 15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
• Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
• Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
• Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
• Strong debugging skills and experience resolving complex system-level and cross-component issues.
• Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
• Experience working with ARM/MIPS-based SoCs and microcontrollers.
• Proven experience leading design discussions and code reviews.
• Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
• Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
• Python or scripting experience for tooling and automation- Advantages.

What will your job look like?

• Design, train, and evaluate cutting-edge deep learning models on REM proprietary map data
• Perform high-scale, large-volume data analysis
• Integrate new map-based algorithms with full ownership
• Develop tools that enable fast and effective data introspection
• Optimize models and results where needed

All you need is:

• 3+ years of industry experience, including at least 1 year of experience in machine learning
• MSc in Computer Science, Electrical Engineering, or a related engineering field
• Strong experience in Python
• Familiarity with numerical and data science frameworks such as NumPy, Pandas, SciPy, PySpark, TensorFlow, and PyTorch
• Linux knowledge and some familiarity with AWS
• A “get it done” approach and a flexible mindset
• Experience working with AI agents or coding assistants (e.g., Copilot) - an advantage
• Familiarity with Graph Neural Networks (GNNs) - an advantage

What will your job look like?

• Participate in planning and implementation of advanced validation Processes
• Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
• Integrating new features into existing Validation Processes
• Improving sensitivity, efficiency, effectiveness, and quality of validation processes
• Management and prioritization of daily tasks
• Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure

All you need is:

• BSc in computer science, Mathematics, or similar field
• 3+ years of experience in designing, implementing, and automating algorithm validation or software testing, with a focus on performance testing for complex, data-intensive, or machine-learning algorithms.
• Experience with Python (NumPy, SciPy, Matplotlib, Pandas)
• Strong analytical capabilities and experience in data processing
• Knowledge in descriptive statistics, probability, and statistical inference
• Ability to juggle multiple tasks
• Broad vision and a systematic approach
• Thoroughness and attention to details
• Independence, ability to learn new material quickly
• Fluent English

What will your job look like?

• Shape Mobileye’s product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of Mobileye hardware and software
• Develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as PyTorch and converts them into code suitable for execution on custom-built Mobileye hardware
• Use state-of-the-art open-source technologies such as MLIR and work closely with the open-source community
• Develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models onto our state-of-the-art systems
• Develop a toolchain that will provide a quantum leap in Deep learning capabilities and performance

All you need is:

• BSc/MSc in Computer Science/Software Engineering from a leading university
• At least 3 years of practical experience with C/C++
• Background in Neural Networks/Deep Learning – Advantage
• Experience in PyTorch – Advantage
• Experience in LLVM/MLIR – Advantage

What will your job look like?

• Work on developing and optimizing control algorithms for the vehicle
• Run and analyze simulations to test autonomous vehicle in virtual environments
• Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers
• Working with communication protocols and interfaces for both internal and external communications with different components of the system
• Customer facing workshops to discuss and test your algorithms.
• Testing your algorithms in an Autonomous vehicle.

All you need is:

• B.Sc. in Software/Mechanical/Aerospace Engineering. M.Sc - advantage
• Background in control design and method for embedded systems or robotics (at least 3 years of experience)
• Proficient in C++ & Python (at least 2 years of programming)
• Experience in Linux
• Experience in Simulink RT - Advantage
• Willingness to travel a few times a year abroad

What will your job look like?

• Work on developing and optimizing control algorithms for the vehicle
• Run and analyze simulations to test autonomous vehicle in virtual environments
• Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers
• Working with communication protocols and interfaces for both internal and external communications with different components of the system
• Customer facing workshops to discuss and test your algorithms.
• Testing your algorithms in an Autonomous vehicle.

All you need is:

• B.Sc. in Software/Mechanical/Aerospace Engineering. M.Sc - advantage
• Background in control design and method for embedded systems or robotics (at least 3 years of experience)
• Proficient in C++ & Python (at least 2 years of programming)
• Experience in Linux
• Experience in Simulink RT - Advantage
• Willingness to travel a few times a year abroad

What will your job look like?

• Participate in planning and implementation of advanced validation Processes
• Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
• Integrating new features into existing Validation Processes
• Improving sensitivity, efficiency, effectiveness, and quality of validation processes
• Management and prioritization of daily tasks
• Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure

All you need is:

• BSc in computer science, Mathematics, or similar field
• 3+ years of experience in designing, implementing, and automating algorithm validation or software testing, with a focus on performance testing for complex, data-intensive, or machine-learning algorithms.
• Experience with Python (NumPy, SciPy, Matplotlib, Pandas)
• Strong analytical capabilities and experience in data processing
• Knowledge in descriptive statistics, probability, and statistical inference
• Ability to juggle multiple tasks
• Broad vision and a systematic approach
• Thoroughness and attention to details
• Independence, ability to learn new material quickly
• Fluent English

What will your job look like:

• You'll be responsible for the architecture of DFT solutions across the SOC (MBIST, SCAN, ATPG, LBIST and more). 
• Develop all the necessary RTL for the different modules. 
• Verify and Validate your design in GLS.
• Develop ATPG to the highest requirements of Functional Safety (ISO26262).
• Debug and analyze coverage and yield loss. 
• Support production activities and Si debug.

All you need is:

• BSc or MSc in Electrical and Electronics Engineering.
• Proven Experience in either SCAN or MBIST tools and flows.
• At least 2 years of DFT experience in both SCAN/MBIST.
• At least 2 years of experience in the ASIC/SoC industry.
• Excellent communication skills and team spirit. 

What will your job look like:

• Develop all the necessary HW / FW / SW for the different modules
• Verify and Validate our design  
• Debug and analyze coverage and yield loss
• As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts – as it required by the Automotive and Safety related products market (ISO26262).

All you need is:

• At least 5 years of experience in the ASIC/SoC industry
• Excellent communication skills
• BSc or MSc in Computer Engineering or Electrical Engineering
• The following knowledge/experience will serve as a big advantage for candidates
• Proven Experience in either SCAN or MBIST tools and flows 
• Knowledge of Hierarchical SCAN methodology
• Knowledge of Logic BIST (LBIST) and Test Point Insertion (TPI) flows
• Knowledge of TAP protocols IEEE 1149.1/1500/1687 (iJTAG)
• Knowledge of Synthesis flows

What will your job look like?

• In this role, you will build high-end Emulation environments based on new designs. The position involves building and integrating complex components, working with cross-functional engineering teams, and developing systems that will change the way we drive.
• We are looking for an engineer who thrives on challenges and is committed to engineering excellence while navigating complex constraints.

• Lead Emulation development for the VLSI team.

• Work closely with SW, Logic, and Verification engineers.

• Serve as an expert matter for your domain, with full responsibility for driving and implementing improvements and new ideas.

All you need is:

• BSc in Electrical Engineering, Computer Science, or Computer Engineering.

• 5+ years of experience in Emulation, including hands-on experience with tools such as Palladium, ZeBu, or Haps.

• 3+ years of experience in Logic Design (Verilog/System Verilog) or Verification (UVM)- an advantage.

• Hands-on experience in bring-up and debugging of PCBs with standard digital interfaces (e.g., SPI, I2C, MIPI) – an advantage.

• Experience working with multiple cross-functional teams (Software, Logic, Verification).

• Experience using standard lab equipment (e.g., multimeters, oscilloscopes, spectrum analyzers).

• A team player with excellent communication skills.

What will your job look like:

• Hands-on physical design block owner, leading the process from RTL to GDS .
• Lead floorplan exploration in collaboration with Front-End and Architecture teams.
• STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
• Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
• Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

All you need is:

• BSc or MSc in Computer Engineering or Electrical Engineering.
• 5+ years of experience in the Physical Design field
• Proficiency in scripting languages (Tcl, Python, Perl, or tcsh).
• A team player with excellent communication skills and a “can-do” attitude
• Experience in developing or maintaining implementation tools and design flows – an advantage
• Experience with high-speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.

What will your job look like:

• Hands-on physical design block owner, leading the process from RTL to GDS .
• Lead floorplan exploration in collaboration with Front-End and Architecture teams.
• STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
• Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
• Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).
• Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification

All you need is:

• BSc or MSc in Computer Engineering or Electrical Engineering.
• 5+ years of experience in the Physical Design field
• Proficiency in scripting languages (Tcl, Python, Perl, or tcsh).
• A team player with excellent communication skills and a “can-do” attitude
• Experience in developing or maintaining implementation tools and design flows – an advantage
• Experience with high-speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.

What will your job look like

• Design, develop, and maintain cloud-based data pipelines capable of processing large datasets.
• Collaborate with algorithm teams to integrate and run their models within the pipelines.
• Manage pipeline dependencies and address performance, scalability, and reliability challenges.
• Continuously improve system architecture and adopt new technologies to solve technical issues.

All you need is:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of backend development experience, with a focus on Python.
• Expertise in designing and developing infrastructure for high-performance and scalable data processing.
• Experience with backend frameworks (e.g., FastAPI, Django, Flask) and containerized services (e.g., Docker, Kubernetes).
• Hands-on experience with workflow orchestration tools like Argo and big data processing tools like Spark – an advantage.
• Familiarity with cloud services (AWS ECS, EMR, Athena, S3, SQS) – an advantage.

What will your job look like:

• You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
• Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
• You'll have a broad effect on our unique product from the very beginning of the process.

All you need is:

• BSc in electrical engineering, computer engineering or computer science
• 7+ years of experience working in verification environment, tests, and test bench development (C/C++/SV)
• TestPlan defining and Coverage-Driven Verification experience
• Fullchip/SOC verification experience, strong system understanding
• Good debug capabilities using the latest EDA tools
• Knowledge in Industry Standard protocols such as AXI/ACEL/OCP/CHI
• SW embedded experience, C/C++ skills - Advantage
• Strong skills in scripting Perl/Python - Advantage
• System Verilog writing skills, preferably in OVM/UVM – Advantage
• 3rd-party IPs integration testing experience - Advantage

What will your job look like:

• You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
• Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
• You'll have a broad effect on our unique product from the very beginning of the process.

All you need is:

• BSc in electrical engineering, computer engineering or computer science
• 7+ years of experience working in verification environment, tests, and test bench development (C/C++/SV)
• TestPlan defining and Coverage-Driven Verification experience
• Fullchip/SOC verification experience, strong system understanding
• Good debug capabilities using the latest EDA tools
• Knowledge in Industry Standard protocols such as AXI/ACEL/OCP/CHI
• SW embedded experience, C/C++ skills - Advantage
• Strong skills in scripting Perl/Python - Advantage
• System Verilog writing skills, preferably in OVM/UVM – Advantage
• 3rd-party IPs integration testing experience - Advantage

What will your job look like?

• Design, develop, and maintain the Python framework that enables algorithm developers across Mobileye to train, validate, quantize, and deploy deep learning models - locally, on-prem, and across cloud providers - through a single unified interface  
• Build high-performance data streaming libraries that feed large-scale distributed training pipelines in Rust with Python interfaces  
• Set the standard for reliable, reproducible research at scale - experiment tracking, configuration management, checkpoint handling, and multi-node training  
• Work directly alongside algorithm researchers to understand friction, propose solutions, and ship them - without layers of process in between  
• Contribute to open source when the right fix/feature belongs upstream  

All you need is:

• A value-first mindset focused on shipping early and often  
• 2+ years of hands-on experience as a software engineer in the industry or in a similar relevant role
• B.Sc. in Computer Science, Software Engineering, or equivalent hands-on experience  
• Strong software engineer skills in Python - tested, production-grade code that other engineers can build on
• Familiarity with deep learning frameworks (ideally Pytorch) and distributed training workflows  
• Experience with containerization and CI/CD pipelines 
• Contributions to open source projects  
• Familiarity with Linux internals - networking, file systems, process management  
• Experience in Rust/C/Cuda  
• Experience with cloud infrastructure (AWS or similar) and distributed storage  
• Exposure to infrastructure-as-code or Kubernetes-based deployments  

What will your job look like:

• Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
• Lead exploratory investigations into new architectures, training strategies, and data utilization methods
• Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
• Own projects end-to-end — from concept and experimentation to integration and scalable deployment

All you need is:

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
• 5+ years of hands-on experience in Machine Learning / Deep Learning research and development
• Strong experience with Transformer-based architectures (e.g., Vision Transformers or similar)
• Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
• Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
• Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
• Excellent analytical skills, creativity, and a drive to push the limits of applied research

What will your job look like:

• Lead a small, focused HLB algorithm validation team, driving innovation, automation, and the adoption of state-of-the-art and AI-based technologies.
• Build deep system understanding of the HLB product to enable thorough analysis, root-cause investigation, and continuous improvement.
• Define and evolve validation strategies, methodologies, test suites, and KPIs to ensure robust algorithm evaluation.
• Drive automation of workflows and data analysis, including development and integration of tools, scripts, and GenAI-based solutions.
• Collaborate closely with Algorithm, Product, and Data teams to enhance system understanding and validation approaches.
• Promote structured investigation, analytical thinking, and efficient ways of working within the team.

All you need is:

• 4–7 years of experience in data analysis, software development, or algorithm-related roles, with strong analytical and problem-solving skills.
• B.Sc. in Computer Science, Engineering, or a related field.
• Ability to investigate complex systems and analyze “black box” behavior to identify root causes.
• Experience improving workflows through automation, scripting, or tooling.
• Experience with machine learning / AI / computer vision systems - an advantage.
• Experience defining validation processes, test methodologies, or performance evaluation - an advantage.
• Experience leading or mentoring a small team, or strong potential to grow into a leadership role - an advantage.
• Strong communication skills and a proactive, ownership-driven mindset.

What will your job look like ?

• Develop test script, Test execution, Test reporting, automated Test generation
• Support setting up test environment, maintenance of test environment
• Review of the work products (such as requirements test specifications, traceability records etc.)
• Recording of deviations according to problem management
• Create problem records and supporting the analyzing phase
• Support deriving the Lessons Learned

All you need is:

• B.sc in Electrical Engineering, Computer Science or other relevant engineering field
• Knowledge of test tools and environments (preferably with Vector tools, CANoe, vTESTstudio, …)
• Experience with Python
• Experience with CAN, SOME/IP, DoIP is a bonus
• 4+ years of Experience in Verification and Validation planning and execution
• Thorough knowledge and experience in testing methodologies
• Thorough knowledge of testing tools and platforms
• Ability to review and analyze test incidents
• Certified Tester Foundation Level
• Knowledge on Six Sigma or other Problem-solving methodology- an advantage
• Knowledge of functional safety (ISO 26262), Automotive Spice (ISO 15504)- an advantage

What will your job look like:

• Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
• Build ML pipelines for data-based diverse dataset creation and efficient model inference
• Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
• Partner with algorithm teams to translate model weaknesses into data curation criteria
• Develop validation and diagnostics to measure dataset quality—not just pipeline health but training effectiveness
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
• Bring models from research/prototype stage into robust, production‑ready deployments
• Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
• Contribute to deployment flows (e.g., model conversion, profiling, optimization)
• Build and improve CI/CD pipelines, automated testing, and development workflows

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent
• 3+ years of hands-on C++ development experience
• 3+ years of hands-on Python development experience, including the PyData stack (NumPy, Pandas)
• Experience working in Linux environments
• Strong motivation to work closely with deep learning algorithms and production of AI systems
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration
• Proven ability to work across team boundaries (algorithms, infra, product)
• Strong motivation to work on production AI systems and deep learning integration
• Interest in edge deployment, inference runtimes, and performance optimization

Advantages:

• Experience with autonomous-driving datasets or perception pipelines
• Background in 3D geometry and/or strong mathematical foundation
• Experience with workflow orchestration tools (Airflow, Argo)
• Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing)
• 2+ years in data engineering or backend systems with large‑scale data (production environments)

What will your job look like:

• Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
• Build ML pipelines for data-based diverse dataset creation and efficient model inference
• Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
• Partner with algorithm teams to translate model weaknesses into data curation criteria
• Develop validation and diagnostics to measure dataset quality—not just pipeline health but training effectiveness
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
• Bring models from research/prototype stage into robust, production‑ready deployments
• Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
• Contribute to deployment flows (e.g., model conversion, profiling, optimization)
• Build and improve CI/CD pipelines, automated testing, and development workflows

All you need is:

• B.Sc. in Computer Science, Software Engineering, or equivalent
• 3+ years of hands-on C++ development experience
• 3+ years of hands-on Python development experience, including the PyData stack (NumPy, Pandas)
• Experience working in Linux environments
• Strong motivation to work closely with deep learning algorithms and production of AI systems
• Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration
• Proven ability to work across team boundaries (algorithms, infra, product)
• Strong motivation to work on production AI systems and deep learning integration
• Interest in edge deployment, inference runtimes, and performance optimization

Advantages:

• Experience with autonomous-driving datasets or perception pipelines
• Background in 3D geometry and/or strong mathematical foundation
• Experience with workflow orchestration tools (Airflow, Argo)
• Familiarity with data curation techniques (e.g., active learning, hard example mining, distribution balancing)
• 2+ years in data engineering or backend systems with large‑scale data (production environments)

What will your job look like?

• Your job will include a combination of algorithm development and programming in Python and C++
• Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
• Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
• Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions

All you need is:

• B.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics
• Advanced degree (M.Sc. or Ph.D.) – advantage 
• A proven record of excellence – academically and professionally 
• Hands-on experience with Python or C++ 
• Proven ability to solve complex problems 

What will you job look like?

• You will work directly with integration and testing teams on construction and troubleshooting in complex systems and transfer them to other support teams if needed.
• You will be required to provide a quick and professional solution to problems that arise during the product's life. 
• You will have the opportunity to work at the forefront of accident prevention and autonomous driving systems, in cutting-edge technology and help develop systems from their initial stages until they get into vehicles.

All you need is:

• Electrical Engineering, Information Systems, or a related field student with at least 4 semesters left.
• Experience in computer HW and  SW lab work.
• Knowledge of windows and Linux environment .
• Strategic and systematic thinker with strong atte.ntion to detail.
• Proactive team player with a can-do attitude.
• Fast learner with strong problem-solving and goal-oriented mindset.
• Fluent in English.
  
  

What will your job look like:

• Hands-on physical design block owner, leading the process from RTL to GDS .
• Lead floorplan exploration in collaboration with Front-End and Architecture teams.
• STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
• Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
• Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

All you need is:

• BSc or MSc in Computer Engineering or Electrical Engineering.
• 2+ years of experience in the Physical Design field- MUST
• Proficiency in scripting languages (Tcl, Python, Perl, or tcsh).
• A team player with excellent communication skills and a “can-do” attitude
• Experience in developing or maintaining implementation tools and design flows – an advantage
• Experience with high-speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.

What will your job look like:

• Hands-on physical design block owner from RTL to GDS with horizontal ownership.
• Floorplan exploration and collaboration with front-end and architecture teams.
• Synthesis exploration and final synthesis including: SDC definition, Scan insertion, Lint, LEC, UPF-LP & Spyglass verification.
• Place & Route: from Synthesis to final layout and signoff verification on all tools and floors, with target to achieve best PPA.
• STA: timing analysis, working with Sub System and Full Chip owners to manage block and top level constraints for synthesis, P&R and signoff.
• Signoff : on all physical design domains- STA, IR/EM, Physical Verification, Logic Equivalent Checking, Low Power Verification

All you need is:

• BSc or MSc degree in Computer Engineering or Electrical Engineering.
• 8+ years experience in the Physical Design field.
• Experience with high speed interfaces (DDR/PCIE) - an advantage.
• Experience with advanced nodes (5nm and below) - an advantage.
• Team player with excellent communication skills, customer orientation, and a “can-do” attitude.
• Building or maintaining implementation tools and flow - an advantage.
• Experience in scripting languages like Tcl/Python/Perl/TCSH.

What will your job look like:

• Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
• Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
• Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
• Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
• Lead research directions from conception to full-scale production.
• Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.

All you need is:

• M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
• Proven experience in machine learning and deep learning.
• Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc. - advantage).
• Strong programming skills in Python; solid C++ experience - advantage.
• Experience in training large-scale models and working with real-world data.
• Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.

What will your job look like:

• Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
• Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
• Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
• Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
• Lead research directions from conception to full-scale production.
• Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.

All you need is:

• M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
• Proven experience in machine learning and deep learning.
• Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc. - advantage).
• Strong programming skills in Python; solid C++ experience - advantage.
• Experience in training large-scale models and working with real-world data.
• Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.

All you need is:

• Certified Practical Engineer in Electronics, currently pursuing a BSc or equivalent degree - MUST
• Ability to work 4 days a week
• At least 2 years of experience with OS knowledge and debugging.
• Basic Network knowledge
• Familiarity with board layout and schematics
• Knowledge of Hardware interfaces (Bus protocols, etc.)
• Understanding of electronic components and platform architecture
• Experience operating lab equipment (Scope, Logic Analyzer, etc.) – a significant advantage.
• Excellent self-learning skills.
• High motivation and "out-of-the-box" troubleshooting capabilities
• Good English communication skills (verbal and written)

What your job will look like:

• Own the product vision, strategy, and roadmap for key MECI platforms and capabilities
• Drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
• Translate needs from Algo developers, Validation teams, CI users, and Infrastructure stakeholders into clear product requirements, specifications, and user flows
• Lead the full product lifecycle — from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
• Maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
• Partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
• Contribute to building a culture of collaboration, ownership, and sustainable development, with attention to developer well-being

All you need is:

• B.Sc. or equivalent practical experience
• 4+ years of Product Management experience in a technical or platform-focused environment
• Proven experience building products for technical users such as software engineers, algorithm developers, validation engineers, or infrastructure teams
• Strong ability to work closely with engineering on planning, execution, and delivery
• Excellent customer orientation and experience translating complex needs into scalable, usable solutions
• Ability to understand and reason about complex development workflows, build and test systems, and platform dependencies
• Comfort operating in a dynamic, ambiguous environment with multiple stakeholders and evolving requirements

Nice to have:

• Background in software engineering, DevOps, or infrastructure
• Experience with CI/CD systems, build pipelines, or large-scale testing frameworks
• Knowledge of compute orchestration, containers, and cloud or on-prem environments
• Experience working on internal developer platforms or productivity tools
• Exposure to AI-assisted development or data-driven tooling

What will your job look like:

• Maintain and support large-scale Linux-based CI and validation environments.
• Troubleshoot complex setup and integration issues across software infrastructures and board configurations.
• Debug logical/system-level issues related to installations, drivers, configurations, and environment stability.
• Support automation and maintenance flows using Python scripting.
• Work closely with Software groups to ensure stable and reliable testing environments.

All you need is:

• B.Sc. in Computer Science, Software Engineering, or a related field.
• Experience working in Linux environments — must.
• Experience with Python and Bash scripting — must.
• IT and system administration skills — advantage.
• Strong troubleshooting and problem-solving skills.
• Ability to work independently and handle complex technical environments.
• Experience with CI/CD environments.
• Familiarity with embedded systems or board-based setups.

   

What will your job look like?

• Build end-to-end features across frontend and backend systems.
• Develop and maintain scalable backend services and web applications.
• Deploy and support cloud-based applications using Docker, Kubernetes, and AWS.
• Collaborate with cross-functional teams to deliver reliable production solutions.

All you need is:

• B.Sc. in Computer Science or equivalent, with 1-2 years of software development experience.
• Strong experience with Python (FastAPI, Flask, or Django) and Node.js.
• Familiarity with React, Angular, or Vue, along with REST APIs and databases.
• Hands-on experience with Linux, Docker, Kubernetes, GitLab CI/CD, and AWS.

What will your job look like?

• Design, build and optimize software modules for production grade imaging-radar solution 
• Implement complex algorithms in a multi-core platform with high bandwidth with distributed memory 
• Work closely with algorithms teams to convert complex MATLAB code to efficient real-time environment.
• Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
• 5+ years software development experience in C in DSP\Embedded environment
• Strong understanding of MATLAB
• Curious, versatile, effective developer
• Experience working in a multi-core environment - advantage
   

What will your job look like?

• Define HW and SW requirements for silicon BU.
• Be accountable for Pre silicon & HW readiness, BU phases and exit criteria, Setup, Automation, Analysis, and methodologies.
• Be accountable for Post silicon & HW Characterization, Analysis, and debug, generate detailed reports using AI tools
• Work closely with RFIC design and system architecture teams for optimal silicon performance .
• Deliver registers drop, calibration and flows to SW team

All you need is:

• Master/Bachelor in Electrical Engineering.
• 5+ Years of work experience in wireless\Radar systems.
• Solid RF background -knowledge in RF parameters measurements from BB to RF including DAC and ADC.
• Experienced in RF architectures, Post silicon activities including Silicon Bring Up, Characterization, Optimization and Calibration flows.
• Hands-on experience in Python, Matlab or similar programming- must.
• Familiar with AI tools such as Co-pilot, Curser AI and Claude code
• Experienced in Antenna and over-the-air testing - Advantage.
• Ability to lead task force for complex debug for efficient solution\mitigations and strong problem-solving skills.
• Strong interpersonal communications skills.
• Good verbal communication and technical writing skills in English.

What will your job look like?

• Your job will include a combination of algorithm development and programming in Python and C++.
• Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
• Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
• Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

All you need is:

• BSc in Computer Science, Electrical Engineering, Mathematics or Physics.
• 5+ years of experience in algorithm development
• Hands-on experience with Python or C++
• Proven ability to solve complex problems
• Advanced degree (M.Sc. or Ph.D.)- an advantage

What will your job look like:

• Design and optimize algorithms and pipelines for large scale model inference
•  Build scalable systems for high throughput data processing and streaming
• Develop data transformation and preprocessing components for ML workloads
• Improve performance, efficiency, and reliability across distributed inference systems
• Work closely with ML researchers, infrastructure, and platform teams
• Drive architectural decisions for production ML and data systems  

All you need is:

• 5+ years of experience in Algorithm Engineering, ML Infrastructure, or Data Systems
• Strong programming skills in Python
• Hands on experience with Spark, Polars, Pandas, DuckDB, and AWS
• Strong understanding of distributed systems, scalability, and performance optimization
• Experience building or supporting ML inference pipelines in production
• Strong system design and architecture skills

What your job will look like:

• Lead high-scale development projects using Python in a dynamic backend environment
• Design and implement microservices architectures, leveraging AWS services and multiple database technologies
• Write clean, modular, and maintainable code that meets high engineering standards
• Collaborate closely with algorithmic and software developers to integrate our services into their workflows
• Develop and maintain backend services and integrations with internal and third-party tools, enabling smooth and efficient development processes
• Work in an Agile environment as part of a scrum team
• See your work directly accelerate the development of autonomous vehicles used by all Mobileye developers

All you need is:

• 5+ years of hands-on software development experience
• B.Sc. in Computer Science, Software Engineering, or a related field
• Strong proficiency in Python
• Experience working in Linux environments and with Git
• Solid, practical experience with AWS and DevOps — including deployment automation, CI/CD, and cloud infrastructure management
• Hands-on experience with containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation)
• Practical experience building APIs and services with FastAPI, Flask, or similar Python frameworks
• Experience with relational and non-relational databases – PostgreSQL, MySQL, MongoDB, DynamoDB, etc.
• Agile / Scrum experience – actively contributing in a team-oriented workflow
• Experience implementing monitoring and observability systems (Prometheus, Grafana, ELK, CloudWatch)

Nice to have:

• Proven experience developing tools or services that support engineering workflows
• Background in distributed system design or large-scale backend architectures
• Exposure to integrating with internal and third-party services
• Event-driven architecture experience or message brokers (Kafka, RabbitMQ, SQS)
• Familiarity with multi-cloud or hybrid environments

What will your job look like?

• Take part in designing and developing large-scale network applications running on our cutting edge platforms which have our industry leading EyeQ chip.
• You will work on a complex real-time system involving multiple sensors as part of a broader automotive system architecture.
• The main application is developed in C++ for Linux environments.
• You will develop advanced simulation software used company-wide, integrating the latest Mobileye technologies.

All you need is:

• BSc or MSc in Computer Science or Electrical Engineering (with a strong computer science background).
• At least 7 years of experience in C++ development- Must
  
• Hands-on experience working in Linux environments.
• Knowledge of network protocols (Ethernet, IP, UDP etc) with practical experience - Advantage.
• Strong analytical skills.
• Success-oriented and Can-do approach.
• Background in software profiling, debugging, and performance optimization.

What will your job look like?

• Take part in designing and developing large-scale network applications running on our cutting-edge platforms which have our industry leading EyeQ chip.
• You will work on a complex real-time system involving multiple sensors as part of a broader automotive system architecture.
• The main application is developed in C++ for Linux environments.
• You will develop advanced simulation software used company-wide, integrating the latest Mobileye technologies.

All you need is:

• BSc or MSc in Computer Science or Electrical Engineering (with a strong computer science background).
• At least 7 years of experience in C++ development- Must
  
• Hands-on experience working in Linux environments.
• Knowledge of network protocols (Ethernet, IP, UDP etc) with practical experience - Advantage.
• Strong analytical skills.
• Success-oriented and Can-do approach.
• Background in software profiling, debugging, and performance optimization.

What will your job look like:

• Leading the development of high-performance applications using C++ and optimizing the existing codebase for efficiency and scalability
• Collaborating with multiple departments in Mobileye to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
• Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements
• Working closely with external algo teams and various departments in Mobileye for requirement gathering and the correct integration of new features
• Engaging with different environments in Mobileye's software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
• Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
• Exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
• Collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals

All you need is:

• Bachelor's degree or Master's degree in Computer Science, Computer Engineering, or a similar field
• A minimum 4 years of proven experience as a C++ Developer, preferably in a senior or lead capacity
• In-depth proficiency in C++ programming language and strong knowledge of object-oriented design principles
• Demonstrated expertise in developing high-performance applications and optimizing code for efficiency
• Experience working with real-time systems and meeting stringent memory and running-time requirements
• Knowledge of software development methodologies and best practices
• Strong problem-solving and analytical skills
• Ability to work independently and collaboratively within a dynamic team environment
• Excellent communication skills to effectively interact with external teams and various departments

Advantages:

• Familiarity with vision domains will be highly beneficial
• Background in image processing
• Experience with Cloud services (AWS)
• Practical experience with version control & git submodules.
• Experience with Python 

What will your job look like?

• Lead the design and architecture of critical software components, writing well-thought-out, highly optimized C++ code.
• Apply advanced software design methodologies, strictly adhering to principles like SOLID and RAII to ensure robust, scalable, and maintainable systems.
• Develop a multi-threaded, multi-core system under a custom real-time operating system as well as embedded Linux.
• Leverage AI tools to accelerate research, optimize daily workflows, and elevate overall code quality.
• Gain a deep understanding of the underlying hardware architecture and end-to-end vision use cases.
• Collaborate closely with internal departments to gather requirements and ensure the flawless integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Software Engineering, or related fields.
• 5+ years of hands-on experience in C/C++ programming.
• Exceptional software design and architecture skills, with a proven track record of applying modern C++ paradigms in mission-critical environments.
• Practical knowledge and experience using AI tools to enhance software development processes.
• Experience developing in a Linux operating system.
• Experience working on real-time operating systems or embedded systems.
• Strong understanding of computer architecture and performance tuning on different platforms.
• Experience with Real-Time OS and driver development – (Advantage).
• Experience in HW/SW integration and debugging activities on real HW - (Advantage).

What will your job look like?

• Lead the design and architecture of critical software components, writing well-thought-out, highly optimized C++ code.
• Apply advanced software design methodologies, strictly adhering to principles like SOLID and RAII to ensure robust, scalable, and maintainable systems.
• Develop a multi-threaded, multi-core system under a custom real-time operating system as well as embedded Linux.
• Leverage AI tools to accelerate research, optimize daily workflows, and elevate overall code quality.
• Gain a deep understanding of the underlying hardware architecture and end-to-end vision use cases.
• Collaborate closely with internal departments to gather requirements and ensure the flawless integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Software Engineering, or related fields.
• 5+ years of hands-on experience in C/C++ programming.
• Exceptional software design and architecture skills, with a proven track record of applying modern C++ paradigms in mission-critical environments.
• Practical knowledge and experience using AI tools to enhance software development processes.
• Experience developing in a Linux operating system.
• Experience working on real-time operating systems or embedded systems.
• Strong understanding of computer architecture and performance tuning on different platforms.
• Experience with Real-Time OS and driver development – (Advantage).
• Experience in HW/SW integration and debugging activities on real HW - (Advantage).

What will your job look like:

• Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
• Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
• Manage the group’s software delivery, ensuring timely, high‑quality releases.
• Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
• Working closely with external algo teams and various departments in Mobileye for requirement gathering and the correct integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Computer Engineering, or a similar field.
• 4+ years of hands-on C++ development experience, with in-depth knowledge of object-oriented design principles.
• Experience working with real-time systems and meeting stringent memory and running-time requirements.
• Proven debugging skills and ability to move from symptoms to root cause
• Experience in building and maintaining CI\CD tools - advantage
• Experience with Python - advantage

What will your job look like:

• Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
• Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
• Manage the group’s software delivery, ensuring timely, high‑quality releases.
• Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
• Working closely with external algo teams and various departments in Mobileye for requirement gathering and the correct integration of new features.

All you need is:

• Bachelor's degree in Computer Science, Computer Engineering, or a similar field.
• 4+ years of hands-on C++ development experience, with in-depth knowledge of object-oriented design principles.
• Experience working with real-time systems and meeting stringent memory and running-time requirements.
• Proven debugging skills and ability to move from symptoms to root cause
• Experience in building and maintaining CI\CD tools - advantage
• Experience with Python - advantage

What will your job look like:

• Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you  will contribute across the full stack alongside the rest of the team.
• Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
• Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
• Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
• Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
• Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

All you need is:

• 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks.
• Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
• Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
• Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own.
• Experience with autonomous-driving datasets or perception pipelines.
• 3D geometry and camera model intuition (or the mathematical background to ramp up).
• Workflow orchestration (Argo, Airflow, Kubeflow).
• Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
• Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement.
• Exposure to LLM agents or agentic workflows for data tasks.

What will your job look like?

• Design, develop and implement deep learning algorithms to solve complex problems in computer vision 
• Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
• Collaborate with cross-functional teams to understand requirements and develop solutions.
• Analyze large datasets to improve algorithm performance and robustness.
• Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics (Ph.D.- advantage)
• 5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

What will your job look like?

• Design, develop and implement deep learning algorithms to solve complex problems in computer vision 
• Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
• Collaborate with cross-functional teams to understand requirements and develop solutions.
• Analyze large datasets to improve algorithm performance and robustness.
• Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

All you need is:

• M.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics (Ph.D.- advantage)
• 5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
• Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

All you need is:

• PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
• 4+ years of hands-on experience developing deep learning algorithms in Python.
• Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
• Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and a research-oriented mindset.
• Industry experience in DL or software development.
• Familiarity with hardware-aware model optimization.
• Experience with cloud platforms (e.g., AWS), Docker, and Linux environments.
• Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning.

What will your job look like:

• Be the owner of formal verification environment from first draft to sign-off stage
• Apply formal methods to verify the correctness of various complex digital systems
• Work with HW architects\designers to define assumptions, rules and cover properties
• Help define the formal verification methodology and environment to be applied by the team
• Explore new Formal methods and Tools
• Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
• Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
• Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf

All you need is:

• BSc in electrical engineering, computer engineering, or computer science
• Passion for the field of Formal Verification
• 5+ years of experience in Formal Verification
• Experience coding system-verilog hardware description language
• Experience with scripting languages (e.g. python, tcl )
• Strong analytical and problem solving skills
• Ability to work independently and in a team-oriented environment

What will your job look like?

• Work closely with the design teams from early stages of the design process to review DFX architecture and define test requirements.
• Define test methodologies and generate test content for high-speed interfaces of embedded IP blocks (LPDDR4/5, PCIe Gen4/5, D/C/MPHY).
• Test program coding, pattern conversion and pre-Si validation (virtual test simulations)
• Support Load Board and Probe Card design activities.
• Lead post-Si test program debug activities to enable delivery of samples to internal and external customers.
• Test program characterization and tuning to enhance test program quality to meet automotive standards.
• Support Quality & Reliability team to enable effective and timely qual plan execution.
• Lead test deployment activities with tier-one Foundry and OSAT vendors to enable large-scale Wafer-Sort and Final-Test operations.

All you need is:

• BSc or MSc degree in Electrical Engineering.
• 7+ years of experience as IC Product/Test engineer.
• Hands on experience in bring-up & productization of complex IC products.
• Prior experience with Teradyne UltraFlex/UltraFlexPlus is - significant advantage.
• Deep understanding of structural DFT methods (scan, mbist, jtag, …).
• Proficiency in C/C++ and scripting language (Perl, Python, …) in Unix environment.
• Experience with data and yield analysis using known statistical methods and tools (e.g. JMP).
• Familiarity with Verilog and RTL behavioral simulations – an advantage
• Strong sense of ownership, commitment, and responsibility.
• Team player, with the ability to work in a rapidly evolving environment.
• Good interpersonal communication skills.

What will your job look like

• Architect and develop the Linux startup and service management framework optimized for embedded constraints. 

• Design and implement robust Over-the-Air (FOTA) software update mechanisms and fail-safe recovery systems. 

• Develop low-level userspace applications and daemons in C/C++ that interact directly with the kernel and hardware. 

• Optimize system boot time and resource utilization through deep analysis of the execution chain. 

• Own the system lifecycle, from the first instruction in userspace to a fully operational automotive safety system. 

• Perform root cause analysis on complex system-level crashes, memory leaks, and race conditions within the distribution. 

• Collaborate on board bring-up, ensuring the distribution is tailored to the specific requirements of new EyeQ generations.

All you need is:

• Outstanding graduate in Computer Science or similar field  
• 5+ years of experience in Embedded Linux development, with a focus on systems programming - Must.
• Expert-level C/C++ programming skills and a deep understanding of POSIX APIs, multi-threading, and IPC. 
• Deep knowledge of Linux Internals, specifically the boot process (Bootloaders, Kernel hand-off, Init systems). 
• Hands-on experience with Embedded Linux Distributions (e.g., custom Yocto recipes, Buildroot, or Linux-from-scratch). 
• Experience with Software Update strategies (A/B partitioning, delta updates, atomic installs). 
• Proficiency in debugging tools like GDB, Valgrind, strace, and perf. 
• Experience with Python for rapid prototyping and automation. 
• Background in Automotive Software (ISO 26262, Adaptive AUTOSAR). 
• Knowledge of Security concepts (Secure Boot, DM-Verity, Trusted Execution Environments).
• Contributions to Open Source projects (Kernel, busybox, or system libraries).

What will your job look like:

• Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you  will contribute across the full stack alongside the rest of the team.
• Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
• Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
• Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
• Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
• Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

All you need is:

• 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks.
• Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
• Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
• Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own.
• Experience with autonomous-driving datasets or perception pipelines.
• 3D geometry and camera model intuition (or the mathematical background to ramp up).
• Workflow orchestration (Argo, Airflow, Kubeflow).
• Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
• Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement.
• Exposure to LLM agents or agentic workflows for data tasks.

What will your job look like:

• Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you  will contribute across the full stack alongside the rest of the team.
• Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
• Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
• Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
• Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
• Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
• Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

All you need is:

• 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks.
• Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
• Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
• Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
• Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own.
• Experience with autonomous-driving datasets or perception pipelines.
• 3D geometry and camera model intuition (or the mathematical background to ramp up).
• Workflow orchestration (Argo, Airflow, Kubeflow).
• Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
• Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement.
• Exposure to LLM agents or agentic workflows for data tasks.

What will your job look like?

• Working closely with hardware and mechanical design engineers, you'll perform PCB layout Mobileye's ECUs and other products. 
• Complete development of CAD layout from footprint definition, detailed component placement, constraints management, with a concept of topology and signal and power integrity.
• Be responsible for the design releases required generation of artwork files, ODB++, FAB drawings, ICT report, and electronic PCB documentation.
• Your designs will need to follow IPC class 3 , signal and power integrity constraints, EMI/RFI control and automotive regulations.

All you need is:

• B.Sc in Electronic Engineering or equivalent experience
• 5+ years experience in high-speed design
• Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role.
• Be an authority in using PCB design tools  (Mentor - a must , more tools - Advantage)
• Have a deep understanding of PCB Signal Integrity and Power integrity.
• Knowledge in PCB manufacturing processes for HDI, Standard Thru-Hole, and Back-drilling.
• Strong verbal and written communication skills in English 

What will your job look like?

• Working closely with hardware and mechanical design engineers, you'll perform PCB layout Mobileye's ECUs and other products. 
• Complete development of CAD layout from footprint definition, detailed component placement, constraints management, with a concept of topology and signal and power integrity.
• Be responsible for the design releases required generation of artwork files, ODB++, FAB drawings, ICT report, and electronic PCB documentation.
• Your designs will need to follow IPC class 3 , signal and power integrity constraints, EMI/RFI control and automotive regulations.

All you need is:

• B.Sc in Electronic Engineering or equivalent experience
• 5+ years experience in high-speed design
• Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role.
• Be an authority in using PCB design tools  (Mentor - a must , more tools - Advantage)
• Have a deep understanding of PCB Signal Integrity and Power integrity.
• Knowledge in PCB manufacturing processes for HDI, Standard Thru-Hole, and Back-drilling.
• Strong verbal and written communication skills in English 
• Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

What will your job look like?

• Working closely with hardware and mechanical design engineers, you'll perform PCB layout Mobileye's ECUs and other products. 
• Complete development of CAD layout from footprint definition, detailed component placement, constraints management, with a concept of topology and signal and power integrity.
• Be responsible for the design releases required generation of artwork files, ODB++, FAB drawings, ICT report, and electronic PCB documentation.
• Your designs will need to follow IPC class 3 , signal and power integrity constraints, EMI/RFI control and automotive regulations.

All you need is:

• B.Sc in Electronic Engineering or equivalent experience
• 5+ years experience in high-speed design
• Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role.
• Be an authority in using PCB design tools  (Mentor - a must , more tools - Advantage)
• Have a deep understanding of PCB Signal Integrity and Power integrity.
• Knowledge in PCB manufacturing processes for HDI, Standard Thru-Hole, and Back-drilling.
• Strong verbal and written communication skills in English 

What your job will look like:

• Develop and maintain backend and data-processing components in large-scale systems
• Design, implement, and optimize data pipelines and distributed processing flows
• Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
• Optimize systems and code across multiple layers - from architecture to implementation
• Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
• Work across teams and domains, reading, improving, and refactoring existing code
• Take part in technical design and decision-making, balancing performance, scalability, and maintainability

All you need is:

• 5+ years of experience in software development, with a strong backend and/or data focus
• Experience building backend services (APIs) and working with databases and storage systems
• Experience using AI as a core part of the development workflow
• Hands-on experience with large-scale data processing and distributed systems
• Experience with Spark / PySpark - a strong advantage
• Experience with Python or Node.js
• Strong understanding of performance optimization and system behavior (CPU, memory, concurrency)
• Proven debugging skills and ability to move from symptoms to root cause
• A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems

What your job will look like:

• Develop and maintain backend and data-processing components in large-scale systems
• Design, implement, and optimize data pipelines and distributed processing flows
• Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
• Optimize systems and code across multiple layers - from architecture to implementation
• Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
• Work across teams and domains, reading, improving, and refactoring existing code
• Take part in technical design and decision-making, balancing performance, scalability, and maintainability

All you need is:

• 4+ years of experience in software development, with a strong backend and/or infrastructure focus
• Experience building backend services (APIs) and working with databases and storage systems
• Experience using AI as a core part of the development workflow
• Hands-on experience with large-scale data processing and distributed systems
• Experience with Spark / PySpark - a strong advantage
• Experience with Python or Node.js
• Strong understanding of performance optimization and system behavior (CPU, memory, concurrency)
• Proven debugging skills and ability to move from symptoms to root cause
• A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems

What will your job look like?

• Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
• Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
• Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need:

• BSc in Software Engineering, Computer Science, or a related field.
• 3+ years of experience in software development.
• Excellent control of CI tools – Jenkins, Gitlab /Github, Git, Repo, ks8 services.
• Excellent Python programming skills.
• Experience in Linux and bash scripts.
• Passion for problem-solving and debug capabilities
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like?

• Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
• Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
• Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need:

• BSc in Software Engineering, Computer Science, or a related field.
• 5+ years of experience in software development.
• Excellent control of CI tools – Jenkins, Gitlab /Github, Git, Repo, ks8 services.
• Excellent Python programming skills.
• Experience in Linux and bash scripts.
• Passion for problem-solving and debug capabilities
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like?

• Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
• Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
• Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need:

• BSc in Software Engineering, Computer Science, or a related field.
• 5+ years of experience in software development.
• Excellent control of CI tools – Jenkins, Gitlab /Github, Git, Repo, ks8 services.
• Excellent Python programming skills.
• Experience in Linux and bash scripts.
• Passion for problem-solving and debug capabilities
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What Will your Job Look Like?

• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Take ownership of system architecture and technical design, from high-level design to implementation.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain Python applications for various projects.
• Optimize applications for maximum speed.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with the latest industry trends and best practices.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need is:

• Bachelor's degree in Computer Science, Engineering, or a related field- Must.
• At least 5 years of experience as a Python developer- Must.
• Experience in software architecture and system design - Must.
• Strong understanding of Python and its core principles.
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Ability to work independently and take ownership of projects.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What Will your Job Look Like?

• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Take ownership of system architecture and technical design, from high-level design to implementation.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain Python applications for various projects.
• Optimize applications for maximum speed.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with the latest industry trends and best practices.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need is:

• Bachelor's degree in Computer Science, Engineering, or a related field- Must.
• At least 5 years of experience as a Python developer- Must.
• Experience in software architecture and system design - Must.
• Strong understanding of Python and its core principles.
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Ability to work independently and take ownership of projects.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What Will your Job Look Like?

• Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
• Take ownership of system architecture and technical design, from high-level design to implementation.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop and maintain Python applications for various projects.
• Optimize applications for maximum speed.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug issues as they arise.
• Stay up-to-date with the latest industry trends and best practices.
• Help shape a structured, collaborative, and improvement-driven engineering culture.

All you need is:

• Bachelor's degree in Computer Science, Engineering, or a related field- Must.
• At least 5 years of experience as a Python developer- Must.
• Experience in software architecture and system design - Must.
• Strong understanding of Python and its core principles.
• Team player with strong communication skills, able to mentor others and lead technical discussions.
• Ability to work independently and take ownership of projects.
• Independent, proactive, and quick to learn, with a creative mindset for solving complex challenges.

What will your job look like:

• Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
• Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
• Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
• Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

All you need is:

• B.Sc. degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 5+ years of hands-on experience in full-stack software development, including building scalable, end-to-end production systems (backend services, APIs, database design, and frontend interactions).
• Strong frontend development experience using React.
• Strong hands-on experience with Python.
• Hands-on experience working in Linux or macOS environments, including containerized development using Docker.
• Experience working with cloud platforms such as AWS- advantage.
• Experience with LLM-based systems, prompt engineering, and AI frameworks such as Hugging Face- an advantage.

What will your job look like:

• Design, build, and write the underlying code for large-scale systems handling diverse data from multiple sources
• Build and maintain robust data pipelines that enable algorithmic development
• Evaluate various optional technologies and take part in decision-making
• Own key features and services within the data infrastructure
• Ensure data quality and accessibility for detection models and research needs 

All you need is:

• BSc. in Computer Science or equivalent - must 
• 4+ years of software development experience
• Proven ability to write high-quality, production-grade Python code (understanding of OOP, modularity, and system design)
• Deep understanding of complex data structures, massive ETL processes, and data workflows
• Experience with databases (SQL/NoSQL) 
• Experience with modern Data Lakehouse architectures and table formats (e.g., Apache Iceberg, Parquet)
• A solid understanding of Machine Learning (ML) concepts and principles
• Experience integrating and utilizing ML models within data workflows and production pipelines
• Familiarity with MLOps practices or working alongside algorithm and research teams 

What will your job look like?

• Define high level requirements for cutting-edge, automotive imaging radar
• Design System architectures and flows for critical functions, such as power management, safety monitoring and security
• Research and architecture for improving Radar KPI's and capabilities
• Engage with customers, analyze and understand customer requirements
• Work closely with SW, Algo, HW, VLSI and validation teams

All you need is:

• B.Sc. in Electrical Engineering, Systems Engineering, or a related field. M.Sc - advantage
• 5+ years of experience in system architecture of complex multi-disciplinary systems or chip architecture
• Proven experience in defining high level system requirements and translating them to lower level specifications for software\VLSI teams
• Strong verbal and written communication skills
• Experience with automotive or radar domain, security, ISO 26262, ASPICE, or other automotive standards - advantage
• Background in ADAS or autonomous driving systems - advantage

What will your job look like:

• Identify efficiency bottlenecks in the mass production of (Autonomous Driving System, including crowdsourced mapping algorithm model), design and develop tailored technical solutions to optimize the procedures such as issue diagnosis, workflow orchestration, and large-scale software deployment, by adopting traditional automation tool development or AI/ LLM/ Agent-based intelligent solutions.
• Participate in the investigation of some complex issues, continuously iterate the automation tools and AI-powered solutions based on real pain points and with a good sense of closed-loop efficiency improvement.
• Work closely with local algorithm R&D, validation, testing and global R&D teams to align business requirements, drive automation tool/ AI-powered solution adoption, and ensure reliable production delivery of AD systems together.

All you need is:

• Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python.
• Programming skills in at least one system language, C++, Rust or Java.
• In total 3~5 years’ working experience, with solid experience building software tools, automation solutions,  back-end services, or AI-powered solutions.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively in cross-functional engineering environments.
• Fluent in both Mandarin and English (working-level proficiency).

Nice to have:

• Experience with LLMs, AI-assisted development tools, or agent frameworks would be a strong plus.
• Background in machine learning or algorithm development.

What will your job look like?

• Build AI-driven developer infrastructure to support DSP software development workflows
• Design code-aware retrieval systems combining structural program analysis with semantic search
• Implement DSP-aware indexing pipelines that detect vector operations, loop kernels, accumulator flows, memory access patterns, and custom instruction usage
• Design agent orchestration workflows for planning, code analysis, patch generation, and build/test validation loops
• Integrate the AI system with build systems, compilers, and simulators to validate generated changes
• Enable AI-assisted workflows for legacy code comprehension, dependency tracing, debugging, refactoring, and DSP kernel optimization

All you need is:

• B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.
• Strong programming in Python and C/C++
• 2+ years of Experience building AI developer tools, RAG systems, or code intelligence infrastructure
• Familiarity with static analysis, compilers, or large codebase tooling
• Experience with embedded systems, DSP pipelines, or custom ISAs

What will your job look like?

• Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
• Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with Mobileye's hardware and software capabilities.
• Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
• Collaborative Leader: Work closely with software architects,  developers and project managers to drive the product success.
• Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

All you need is:

• Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
• Cloud Architecture: Deep understanding of high-scale communication protocols, including MQTT, WebSockets, and RESTful API design.
• Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
• Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
• Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
• Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
• Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.
• Flexibility: Willingness to travel as needed to support customer engagements.
• Automotive & Embedded Context: Experience in the automotive industry or experience bridging embedded systems/Linux environments with cloud backends - Advantage

What will your job look like?

• Customer Champion: Directly engage with customers to understand their needs, analyze requirements, and tailor our solutions to meet their specific demands.
• Visionary Architect: Define the system architecture and derive comprehensive system and software requirements that align with Mobileye's hardware and software capabilities.
• Strategic Planner: Develop consolidated timelines for multiple projects and prioritize product features.
• Collaborative Leader: Work closely with software architects,  developers and project managers to drive the product success.
• Quality Advocate: Adhere to ASPICE standards for system requirements, architecture, and software requirements, ensuring the highest quality and reliability.

All you need is:

• Technical Expertise: Bachelor's degree in Computer Science or a related field, coupled with 5-10 years of experience in technical product management, system engineering, or solution architecture.
• Cloud Architecture: Deep understanding of high-scale communication protocols, including MQTT, WebSockets, and RESTful API design.
• Systems Engineering Proficiency: Familiarity with systems engineering and requirement management processes and methodologies.
• Leadership Skills: Ability to lead cross-functional teams, influence stakeholders, and engage effectively with senior leadership.
• Communication Prowess: Excellent communication and interpersonal skills, enabling you to interact confidently with customers, colleagues, and partners.
• Customer Focus: Proven experience in customer-facing roles, with a focus on understanding customer needs and expectations.
• Drive and Initiative: Accountability, independence, and a highly motivated approach to work, capable of delivering results even under pressure.
• Flexibility: Willingness to travel as needed to support customer engagements.
• Automotive & Embedded Context: Experience in the automotive industry or experience bridging embedded systems/Linux environments with cloud backends - Advantage

What will your job look like:

• Own the end-to-end validation process for autonomous sensing systems (Radar, LiDAR, and sensor fusion), from definition to execution
• Build the validation infrastructure, methodologies, and workflows required to ensure system robustness and safety
• Define validation strategy: test coverage, success metrics, and failsafe verification approaches
• Translate product and system requirements into structured validation plans and measurable outcomes
• Work in close collaboration with R&D, algorithms, system engineering, and product teams
• Identify gaps in testability, observability, and lead solutions to address them
• Establish scalable processes for validation, monitoring, and continuous improvement
• Present insights, risks, and recommendations to stakeholders to drive decision-making

All you need is:

• Proven experience owning complex technical processes or systems end-to-end
• Strong background in validation, system engineering, or complex product development
• Ability to operate independently in ambiguous environments and define structure where none exists
• Excellent analytical skills and deep understanding of system behavior
• Background in autonomous systems, sensing technologies, or similar complex domains — Advantage
• Hands-on technical experience (software, algorithms, or systems) — Advantage
• B.Sc. in Computer Science, Electrical Engineering, Biology or related field
• Fluent in English and Hebrew

What will your job look like:

• Technical product manager for both AV and ADAS perception products utilizing Mobileye's advanced vision technologies:
  • Edge DNN based, real-time and mission critical product lines spanning all Mobileye HW, including the latest design challenges in the AV market
  • Internal and external large scale customer base
  • Unique challenges - both research and agile oriented role, impacting most of Mobileye's various product offering
  • Define and manage Mobileye's core product requirements
  • Own the Product Roadmap and  work with internal and external stakeholders to create a plan based on Mobileye strategies and leading Car OEM's requirements
  • Lead KPIs definition and reviews
  • Generate and maintain accurate and up-to-date documentation for both internal and external stakeholders
  • Lead and facilitate internal product design discussions with the technology managers
  • Joint work with lead car manufacturers, including workshops, test drives and functional tuning

All you need is:

• B.Sc. in Computer Science or a related engineering field
• M.Sc. / MBA - Advantage
• At least 3 years of experience in managing algo-centric products
• Experience in algo development
• Computer vision and Edge DNN experience - Advantage
• Past development management role - Advantage
• Proven experience in customer-facing positions
• Excellent problem-solving, organizational, and analytical skills, with proven ability to take initiative and build strong and productive relationships
• Excellent communication and management skills
• Fluent in English and Hebrew

What will your job look like?

• Ability to understand the entire Mobileye system and solve the customer problems
• Installing various Mobileye systems on evaluation and development vehicles
• Performing and supervising test drives on an open road and test tracks
• Testing performance and quality of the vision system and other sensor
• Supporting system integration efforts with deep "bits and bytes" understanding of the entire system
• Providing expert support and training for the engineering teams on site
• The position includes office work, support at vehicle production lines and integration facilities
• Tasks also include long test drives and travel to additional countries
• Drive the AV in both automated and manual mode on open roads and test tracks
• Inspecting and maintaining any malfunctions in the test vehicle
• Gather information and upload it to the database
• Support new systems installation in the vehicle
• Testing and validating end-to-end AV functionality
• Close collaboration with the AV development, validation and algorithm teams
• Providing expert AV test reports
• Representing the company in customer demonstrations

All you need is:

• Fluent in English
• Advanced driving courses (for test vehicles)
• B.Sc. in Electrical engineering /exact science or similar field
• Valid driving license
• Linux experience
• 2+ years of experience in customer facing roles (support / field engineer or similar)
• Experience in technical hands on roles
• Background in hardware or software testing - an advantage.
• Willingness to work in a dynamic environment
• Independent, self-disciplined, and self-contained
• Highly motivated and self-management skills
• Great interpersonal skills, customer facing

What will your job look like:

• Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
• Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
• Monitor progress and proactively drive issue resolution to maintain predictable delivery.
• Define, track, and analyze execution KPIs.
• Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
• Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
• Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
• Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
• Drive transparency, accountability, and operational rigor across stakeholders.

All you need is:

• BSc. in Computer Science, Electrical Engineering, or related fields.
• 5-7 years of experience in program or product management, with hands-on development experience.
• Ability to read, understand, and run code and scripts (e.g., Python, bash or similar).
• Familiarity with development, CI/CD, testing, and data/ML tools.
• Experience with deep learning development processes.
• Excellent communication, organization, collaboration, and problem-solving skills.

What will your job look like:

• Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
• Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
• Monitor progress and proactively drive issue resolution to maintain predictable delivery.
• Define, track, and analyze execution KPIs 
• Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
• Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
• Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
• Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
• Drive transparency, accountability, and operational rigor across stakeholders.
• Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

All you need is:

• BSc. in Computer Science, Electrical Engineering, or related fields.
• 5-7 years of experience in program or product management, with hands-on development experience.
• Ability to read, understand, and run code and scripts (e.g., Python, bash or similar).
• Familiarity with development, CI/CD, testing, and data/ML tools.
• Experience with deep learning development processes.
• Excellent communication, organization, collaboration, and problem-solving skills.

What will your job look like:

• Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients
• Lead complex development projects from the requirements phase through to implementation
• Closely track development progress and obtain approvals for technical requirements from R&D teams
• Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product
• Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently
• Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning
• Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack

All you need is:

• Strong executor with vast leadership background and hard work ethic
• B.Sc. in Computer Science or a related engineering field
• M.Sc./MBA - Advantage
• At least 3 years of experience in closely managing and leading development teams in complex R&D projects/products
• Development background - Advantage
• Proven experience in customer-facing positions
• Excellent communication and management skills
• Fluent in English and Hebrew

What will your job look like?

• Analyze the SW architecture and identify safety-critical areas, define the safety requirements and work closely with R&D teams to reach the best solutions
• Support the SW system architecture definition of the Mobileye automated driving system
• Define the safety requirements for high-level components of the Mobileye autonomous vehicle products including driving applications, image processing, memory management, error handling
• Act as a POC for R&D teams in terms of Safety and embed the “Safety culture”, train and guide “safety ambassadors” within the teams
• Proactively support Mobileye position with customers during business development activities and during the execution of production projects 

All you need is:

• B.Sc in electrical engineering, computer science or similar fields (M.Sc-anadvantage)
• 3-5 years experience in SW architecture - must 
• Experience in system architecture in the automotive industry – strong preference
• Familiarity with SW Safety standards and processes (A-SPICE, ISO 26262, ISO 21448)
• Experience with programming in C, C++
• Experience with computer vision
• Analytical and interpersonal skills

What will your job look like:

• Act as a technical authority and subject‑matter expert for Mobileye Driving Functions, ADAS, and AV solutions in front of customers.
• Own the end‑to‑end technical engagement with customers, including system understanding, issue analysis, solution definition, and follow‑up.
• Work closely with algorithmic engineering, product, R&D, and program teams to drive customer issue investigation and resolution.
• Gather, analyze, and translate customer feedback and real‑world insights into clear technical requirements and product inputs.
• Lead and support software version integration, validation, and delivery to customers, ensuring alignment between Mobileye core capabilities and customer use cases.
• Take an active role in cross‑functional collaboration with Product, Sales, Marketing, and Engineering teams.
• Proactively contribute to process improvement and technical workflow optimization across teams.
• Work directly with leading OEMs through technical workshops, test drives, system tuning sessions, and on‑site support.
• Build and maintain long‑term, trusted technical relationships with customers.

All you need is:

• B.Sc. in Computer Science or a related engineering field.
• 3+ years of experience in a customer‑facing technical role (e.g., customer engineering, systems engineering, field engineering, solutions engineering).
• Strong ability and motivation to deep dive into complex algorithms, systems, and software behavior.
• Excellent problem‑solving, analytical, and organizational skills, with a strong sense of ownership.
• Proven ability to operate independently, take initiative, and collaborate across multiple teams.
• Excellent communication and stakeholder‑management skills.
• Fluent English and Hebrew.
• Passion for cars, AI, and the intersection between the two.
• Experience in software development or a strong understanding of the software development life cycle.
• Experience working with or managing products, programs, or complex technical systems.
• Background in ADAS, autonomous driving, computer vision, or large‑scale embedded systems.

What will your job look like?

• You will be responsible for debugging issues on base tech both at customer HiLs and vehicles.
• You will need to travel frequently to visit customer sites across USA (Florida, California, Texas) and Manufacturing plant in Mexico.
• You will be at customer site to support flashing Software/Firmware on next generation Mobileye Electronic Control Units.
• You will understand and analyze problems and provide technical solutions where applicable.
• You will get to firsthand experience and be part of building the most challenging and inspiring product in the Automotive domain (full self-driving cars)

All you need is:

• Bachelor’s degree in computer science or equivalent technical field from an accredited institution
• A minimum of 3 years of experience as Field Application Engineer or Resident Engineer or System verification Engineer in automotive industry
• Deep understanding of Embedded systems, debug interfaces like JTAG, UART, ethernet
• Experience in working with external memories eMMC, NOR, SPI
• Knowledge of protocols TFTP, SFTP, SCP, UDS, Over the air updates
• Hands-on experience on using test benches and working Test Vehicles
• Ability to identify, troubleshoot and resolve issues on Base SW
• Knowledge of communication Buses and protocols like CAN, CANFD, ETH, SOMEIP
• Fluent English language and excellent communication skills
• Flexibility to travel on short notice to customer sites.

Preferred Qualifications:

• A minimum of 5 years of System/SW/Validation experience in the Automotive industry, ADAS related product preferred.
• Experience in working with Vector debugging tools CANoe, CANanalyzer, etc.
• Advanced System/Software analysis and debug skills on test benches and vehicles
• Ability to identify and analyze HW issues.
• Knowledge of ECU manufacturing and cyber security concepts on an ECU.

Benefits:

What your job will look like:

• Track and follow up on action items from leadership meetings and ensure timely delivery
• Understand and help scope tasks beyond administrative execution, identifying what's needed for successful outcomes
• Document meetings, synthesize key takeaways, and maintain clarity of priorities and next steps
• Prepare materials for executive presentations and internal communications
• Identify gaps, inefficiencies, and opportunities for improvement across the organization and proactively suggest or initiate solutions
• Maintain high discretion and confidentiality with sensitive information
• Act as a key support partner to the EVP, helping drive execution across mostly R&D domains
• Manage and maintain the EVP's presence across relevant internal and external platforms (e.g., social media, internal communications)

All you need is:

• Bachelor's degree – preference for a technical field
• 2-5 years of experience as a technical project manager in R&D field
• Strong organizational and time-management skills; detail-oriented and structured
• Ability to work independently and manage multiple priorities in a dynamic environment
• High emotional intelligence, maturity, and professional presence
• Strong problem-solving capabilities and business awareness
• Self-driven, proactive, and a fast learner
• Excellent communication skills in English – written and verbal

What will your Job look like?

• Lead the end-to-end execution of project deliverables, including requirements definition, planning, execution, and delivery
• Drive and participate in technical discussions, proactively remove obstacles, and act as both the unifying force within the team and the leader setting direction
• Ensure timely and high-quality delivery of complex, multidisciplinary projects
• Coordinate work across a large cross-functional organization, covering diverse aspects of the system: from algorithm acceleration to sensor integration, from OS development to advanced in-vehicle visualization
• Represent the group in project-level forums, prepare status reports, and communicate effectively with senior management
• Collaborate closely with R&D groups, engaging in technical discussions within a highly multidisciplinary environment

All you need is:

• B.Sc. in Computer Science, Electrical Engineering, or a related Engineering/Scientific field- Must.
• 7+ years of experience in technical project/program management, system engineering, or agile team leadership, with a strong technical background.
• Solid experience in system design, architecture, and software development.
• Exceptional problem-solving, organizational, and analytical skills, with a proven ability to take initiative and build strong, productive relationships.
• Excellent leadership, communication, and stakeholder management skills.
• Fluency in Hebrew and English.

What will your job look like?

• Own and manage product requirements and execution for a large-scale, multidisciplinary system (HW & SW)
• Drive day-to-day execution together with engineering teams, customers, and suppliers
• Work closely with cross-functional stakeholders including HW, SW, system engineering, business units, customers and suppliers
• Support product planning and feature definition aligned with customer and platform needs
• Translate complex technical topics into clear and structured communication
• Track progress, manage risks, and ensure timely and high-quality delivery

All you need is:

• Bachelor’s degree in engineering or equivalent practical experience
• 4+ years of experience in technical product management, program management, or system engineering in B2B environments
• Experience delivering multidisciplinary (HW/SW) products
• Proven experience working closely with customers
• System-level understanding
• Hands-on mindset with strong execution skills
• Excellent communication skills in English (spoken and written)

Advantage

• Experience in the automotive industry.
• Hands-on experience in multidisciplinary development environments. 

What will your job look like?

• Deliver results by orchestrating the technical planning, execution, and enablement of key programs.
• Communicate with the automotive client regarding exact technical needs, including organizing workshops, test drives, and functional tuning.
• Anticipate and remove obstacles that slow down or prevent teams from meeting objectives.
• Lead and contribute to decision-making processes and facilitate conflict resolution.
• Leverage your hands-on experience in the relevant technologies.
• Use critical thinking and design-oriented problem-solving to drive delivery and results.
• Define key program metrics and communicate outcomes, blockers, and overall program performance.
• Work with management and other leaders to continuously identify and implement process improvements.

All you need is:

• Computer Science/Industrial Engineering/Relevant Engineering degree.
• 5+ years of experience of project management.
• Experience in customer-facing technical project or program management.
• Excellent communication, organizational, and management skills.
• Experience in the automotive/vehicle industry – an advantage.
• Fluent in English and Hebrew.

What will your job look like:

• Manage a team of bookkeepers working specifically on supplier accounts and financial management processes.
• Collaborate with the accounting team to prepare and analyze financial reports.
• Ensure compliance with legal and tax requirements.
• Process accounts payable and receivable, manage invoices, and oversee tax payments.
• Reconcile banks and credit card statements.
• Handle fixed assets management and ensure accurate reporting.
• Work within a multi-currency system and procurement system.

All you need is:

• Certification in Bookkeeping (or equivalent certification in the field)
• 5+ years of bookkeeping experience - Must
• 2+ years in a managerial role overseeing bookkeeping teams - Must
• In-depth knowledge and experience in VAT law, including import duties and purchase taxes.
• Proficiency in withholding tax from suppliers both in Israel and abroad.
• Extensive experience in handling accrued and prepaid expenses.
• Knowledge in managing not deductible expenses.
• Ability to reconcile bank accounts and credit cards.
• Proven experience in working with procurement systems.
• Expertise in managing fixed assets.
• High-level proficiency in Excel.
• Experience with NetSuite (NS) accounting system.
• Good English language skills.
• Strong spatial vision and the ability to manage multiple projects simultaneously.

What will your job look like:

• Draft, negotiate, and approve commercial agreements with global customers.
• Lead and manage negotiations with external vendors and international service providers.
• Handle a variety of legal issues pertaining to the business.
• Examine international and local laws.
• Create and manage compliance procedures.
• Lead in-house legal projects.

All you need is:

• LL.B from a leading institution
• Approximately 8 years' experience as an in-house counsel of a hi-tech company or in the commercial/high-tech department of a big law firm.
• Substantial experience in drafting, reviewing, negotiating, and finalizing various commercial agreements globally such as license agreements, data license agreements, distribution agreements, procurement agreements, data privacy, intellectual property, review, and draft of marketing documents, understanding business needs and risks, working closely with business teams.
• Understanding business needs and risks, working closely with business teams.
• Fluent in English & Hebrew.
• Excellent negotiation skills.
• Ability to work independently.
• Team player and ability to work under pressure.

What will your job look like:

• Draft, negotiate, and approve commercial agreements with global customers.
• Lead and manage negotiations with external vendors and international service providers.
• Handle a variety of legal issues pertaining to the business.
• Examine international and local laws.
• Create and manage compliance procedures.
• Lead in-house legal projects.

All you need is:

• LL.B from a leading institution
• Approximately 8 years' experience as an in-house counsel of a hi-tech company or in the commercial/high-tech department of a big law firm.
• Substantial experience in drafting, reviewing, negotiating, and finalizing various commercial agreements globally such as license agreements, data license agreements, distribution agreements, procurement agreements, data privacy, intellectual property, review, and draft of marketing documents, understanding business needs and risks, working closely with business teams.
• Understanding business needs and risks, working closely with business teams.
• Fluent in English & Hebrew.
• Excellent negotiation skills.
• Ability to work independently.
• Team player and ability to work under pressure.

What will your job look like?

• Design, build, and maintain the underlying infrastructure for a modern cloud-based data platform.
• Implement and manage CI/CD processes for data pipelines and platform deployments across development and production environments.
• Design and manage secure, scalable AWS-based data infrastructure, including IAM roles, permissions, policies, networking, and environment isolation.
• Build and maintain orchestration, monitoring, alerting, and observability capabilities for data pipelines and platform services.
• Support deployment, reliability, and operational excellence of data workloads running on technologies such as Spark, DBT, Airflow, Athena, and AWS services.
• Collaborate closely with Data Engineers, Analysts, BI teams, and IT/Cyber teams to ensure secure and scalable data operations.
• Monitor, troubleshoot, and optimize platform performance, availability, and cost efficiency.
• Establish best practices for infrastructure-as-code, deployment standards, security, and production readiness.
•  

• 5+ years of hands-on experience in Data Engineering, Platform Engineering, DevOps, or Cloud Infrastructure roles.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong hands-on experience with AWS, including services such as IAM, S3, Athena, CloudWatch, networking, permissions, and security policies.
• Experience managing development and production environments, deployment processes, and CI/CD pipelines.
• Experience supporting and operating data platforms and pipelines in production environments. 
• Strong understanding of data engineering concepts and modern data architectures (batch and real-time). 
• Experience working with Spark, Airflow, and cloud-based data processing frameworks.
• Strong Python and SQL skills.
• Experience with monitoring, logging, alerting, and operational troubleshooting of data systems.
• Experience with Infrastructure as Code tools (Terraform / CloudFormation) – Advantage
• Experience with Kubernetes, containerized environments – Advantage
• Experience with Kafka, Iceberg, Databricks, Snowflake – Advantage
• Strong ownership and execution mindset, with the ability to work in fast-paced and ambiguous environments.
• Fluent in English.

What will your job look like?

• Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
• Design and implement scalable, flexible data architectures to support evolving business needs.
• Build and manage data platforms, including data lakes and data warehouses.
• Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
• Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
• Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
• Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.
  
  

All you need is:

• 5+ years of hands-on experience as a Data Engineer, building data systems from scratch in dynamic environments.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong proficiency in Python and advanced SQL, with solid experience in data modeling.
• Proven experience designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
• Strong experience working with AWS, including services such as S3, Athena and DynamoDB.
• Experience working with big data processing frameworks such as Spark, and columnar data formats (e.g., Parquet).
• Hands-on experience with workflow orchestration tools such as Airflow.
• Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
• Experience with data platform technologies such as Databricks, Snowflake – Advantage.
• Experience building data platforms using modern lakehouse technologies (e.g., Iceberg) – Advantage.
• Fluent in English.

What will your job look like:

• Team Leadership — Lead, mentor, and develop a team of  3 category leaders and vendor scheduler.
• Contracts & Agreements — Negotiate and manage various agreements with global suppliers.
• NPI Transitions — Own procurement readiness from engineering prototyping through mass production.
• Complex Negotiations — Lead multi-variable negotiations on pricing, lead times, capacity, and IP.
• PO Execution — Manage order execution, on-time delivery, and supplier escalations.
• Cross-Org Project Management — Drive alignment across R&D, quality, operations, finance, and legal; represent procurement in executive forums.

All you need is:

• 6+ years of procurement experience in high-tech, automotive, or contract manufacturing - must.
• Proven people management experience - must.
• Experience with NPI to high volume manufacturing procurement transitions - must.
• BSc in industrial engineering or equivalent.
• Background in industries with high interface and system complexity (defense, medical devices, automotive electronics) — strong advantage.
• Strong contract negotiation and supplier commercial management skills.
• Ability to lead and influence cross-functional processes end-to-end.
• Fluent English.

What will Your job look like:

• Analyze, design, and implement best-in-class procurement processes and workflows across direct and indirect categories.
• Lead procurement transformation initiatives to improve efficiency, transparency, and compliance.
• Drive the adoption and effective use of procurement technologies (e.g., ERP, e-sourcing, e-procurement, spend analytics).
• Serve as a key point of contact between procurement and Is &BI for system improvements and implementation.
• Define and track procurement KPIs (e.g., savings, cycle times, compliance rates, supplier performance).
• Develop dashboards and reporting tools for continuous monitoring and visibility.
• Facilitate procurement reviews and performance improvement plans.
• Support supplier segmentation, onboarding, and performance evaluation processes.
• Collaborate with sourcing teams to ensure supplier governance and risk mitigation strategies are embedded in operations.
• Act as a key liaison between procurement and internal business units, finance, legal, and IT.
• Develop and maintain procurement policies, procedures, and KPIs.
• Ensure alignment between operational procurement goals and overall business strategy.

All you need is:

• 3+ years of experience in procurement, operations, or supply chain management.
• Proven experience in leading process improvement or operational excellence initiatives.
• Bachelor’s degree in Supply Chain, Business Administration, Engineering, or related field. 
• Strong understanding of systems (NetSuite, BI, Jira etc…).
• Excellent analytical, communication, and project management skills.
• Fluent in both Hebrew and English.

What will your job look like:

• Using digital systems to monitor and control security & safety systems: CCTV, Intrusion detection, Fire alarm systems, Elevators, and more…
• Track CCTV displays on wall to wall security monitors, and access control systems
• Incident response and notification to relevant teams
• Company incident and ticket system management.  Including opening and directing tickets to the correct teams and tracking through closure.
• Answer internal and external service calls
• Cooperative work with operations teams and support them in various general tasks

All you need is:

• Available for shift work 24/7, including night shifts, weekends and holidays
• Minimum 3 shifts per week
• Experience in a digital work environment
• Prior work in an operations or military/security command center – An advantage
• Practiced in multitasking and working under pressure
• Ability to express yourself in both Hebrew and English
• Strong work ethic and sense of personal responsibility
• Service oriented and strong interpersonal skills
• Completed military or national service

What will your job look like:

• Act as a project manager, leading ongoing activities and manage the ongoing activities onsite 
• Communicate with the automotive client on exact technical needs, including organizing workshops test drives, and functional tuning.
• Anticipate and remove obstacles that slow or prevent teams from delivering objectives.
• Work alongside the development teams of a leading international automotive company.
• Hold a key role in Mobileye's development projects providing the customer with direct technical support.
• Test performance and quality of the vision system.
• Support system integration efforts with deep "bits and bytes" understanding of the entire system.
• Provide expert support and training for the customer engineering teams on site.
• The position includes office work, support at vehicle production lines and integration facilities.
• The position requires a training period of 3-6 months in Mobileye Jerusalem

All you need is:

• Willingness to relocate abroad for a significant period (minimum of 2 years).
• Degree in a scientific field or engineering.
• At least 3 years of experience in technical positions.
• Background in hardware or software development.
• Background in system testing and integration.
• Project Management skills, with customer-facing experience.
• Independent and self-management skills.
• Fluent in English.
• Foreign Citizenship - an advantage. 

What will your job look like:

• Installing various Mobileye systems on evaluation and development vehicles.
• Performing and supervising test drives on an open road and test tracks.
• Testing performance and quality of the vision system.
• Supporting system integration efforts with deep "bits and bytes" understanding of the entire system.
• Providing expert support and training for the engineering teams on site.
• The position includes office work, support at vehicle production lines and integration facilities.
• Tasks also include long test drives travel in india and additional countries.
• Crisis management.
• Ability to understand the entire Mobileye system and solve the customer problems.
• Working with high ranked managers from both T1 and OEM sides.
• The position requires a training period of 2-3 months in Mobileye Jerusalem

All you need is:

• Willingness to relocate abroad for a significant period (minimum 2 years).
• Willing to travel as needed.
• B.Sc. in Electrical engineering /exact science or similar field.
• 4 years experience of application engineering
• Great interpersonal skills, customer facing.
• Background in hardware or software testing - an advantage.
• Background in working with customers on site, India customers - an advantage. 
• Willingness to work in a dynamic environment.
• Independent, self-disciplined, and self-contained.
• Highly motivated and self-management skills.
• Valid driving license.
• Fluent in English and Hebrew.

What will your job look like:

• Partner with system and software engineering teams to implement and improve ASPICE-compliant processes.

• Drive continuous improvement of product quality, not just process adherence

• Support and guide teams through ASPICE assessments (internal & external)

• Translate ASPICE requirements into practical, scalable engineering workflows

• Identify gaps, risks, and improvement opportunities across the development lifecycle

• Coach teams on best practices in systems & software engineering

• Contribute to building a quality-driven engineering culture

All you need is:

• B.Sc. in Software Engineering, Computer Science, Electrical Engineering, Systems Engineering, or a related technical field.

• ASPICE Provisional Assessor certification with Cybersecurity extension (Competent assessor is a plus)

• Strong background in systems & software engineering

• Proven experience implementing ASPICE in real projects

• Collaborative mindset with strong communication skills

• Excellent communication skills in German and English (both verbal and written)

• ASPICE for Machine Learning

• VW SQIL certification

   

What will your job look like:

• Develop and maintain automated test equipment (ATE) and debug tools to ensure robust and reliable testing of radar products.
• Support testing area by addressing urgent ATE or DUT-level issues and minimizing downtime.
• Run and debug radar test sequences using MATLAB/Python, supporting both algorithm and production KPIs.
• Collaborate with software, algorithm, RF, and hardware teams to resolve failures efficiently.
• Maintain traceability of test issues using JIRA, Tableau, and internal log systems.
• Escalate repeated, critical, or systemic failures, and drive continuous process improvement.
• Track unit status and production KPIs across global sites
• Coordinate with system integration, production, and software engineering teams to align on release readiness.

All you need is:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related technical field.
• 3+ years of experience in production testing. Experience in radar or RF-based systems - Advantage 
• Proven track record in debugging ATE systems, test log analysis, and calibration workflows.
• Experience with Python and MATLAB for test automation and analysis.
• Hands-on experience with JIRA, Tableau, and test result database systems
• Solid understanding of hardware debugging (Experience with RF and sensor boards - Advantage).
• Familiarity with automotive radar, mmWave, and production test flow optimization - Advantage

What will your job look like?

• Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
• Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
• Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
• Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

All you need is:

• BSc/MSc degree in Computer Science or Computer Engineering.
• Familiar with C programing language- must
• Familiar with Linux Kernel operating system- must
• 5+ years of experience in SW integration with hands-on capabilities in Low-level development and debugging.
• Excellent system understanding, trouble shooting, tracking SW changes and problem isolation and solving.
• Good interpersonal skills and ability to work with multiple teams for leading integration activities.
• Experience with CI and automated testing environment - an advantage.

What will your job look like?

• Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
• Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
• Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
• Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

All you need is:

• BSc/MSc degree in Computer Science or Computer Engineering.
• Familiar with C programing language- must
• Familiar with Linux Kernel operating system- must
• 5+ years of experience in SW integration with hands-on capabilities in Low-level development and debugging.
• Excellent system understanding, trouble shooting, tracking SW changes and problem isolation and solving.
• Good interpersonal skills and ability to work with multiple teams for leading integration activities.
• Experience with CI and automated testing environment - an advantage.

What will your job look like?

• Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
• Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
• Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
• Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

All you need is:

• BSc/MSc degree in Computer Science or Computer Engineering.
• Familiar with C programing language- must
• Familiar with Linux Kernel operating system- must
• 5+ years of experience in SW integration with hands-on capabilities in Low-level development and debugging.
• Excellent system understanding, trouble shooting, tracking SW changes and problem isolation and solving.
• Good interpersonal skills and ability to work with multiple teams for leading integration activities.
• Experience with CI and automated testing environment - an advantage.

What will your job look like?

• Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.

• Lead software deployment and integration activities for Mobileye’s next-generation AV platforms across complex HW/SW environments.

• Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.

• Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.

• Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.

• Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.

• Serve as a technical focal point for integration challenges during validation and bring-up phases.

• Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

All you need is:

• Bachelor’s degree in EE / SW Engineering / Computer Science or equivalent experience
• At least 2 years of managerial experience leading a technical team and at least 5 years of experience in SW-HW integration in a multidisciplinary environment
• Hands-on experience with embedded Linux and multi-SoC platforms
• Proven technical ability to lead resolution of complex system-level issues
• Strong system-level debugging skills across software and hardware boundaries
• Experience investigating complex integration issues involving networking, logging systems, drivers, and infrastructure components
• Strong leadership skills, including task planning, prioritization, and team development
• Excellent communication skills with the ability to present complex technical challenges with extreme clarity
• Fluent in English (spoken and written)

Advantage:

• Experience in the automotive industry
• Experience with Vector / CANoe / Autosar
• Experience with automotive validation campaigns

What will your job look like?

• Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.

• Lead software deployment and integration activities for Mobileye’s next-generation AV platforms across complex HW/SW environments.

• Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.

• Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.

• Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.

• Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.

• Serve as a technical focal point for integration challenges during validation and bring-up phases.

• Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

All you need is:

• Bachelor’s degree in EE / SW Engineering / Computer Science or equivalent experience
• At least 2 years of managerial experience leading a technical team and at least 5 years of experience in SW-HW integration in a multidisciplinary environment
• Hands-on experience with embedded Linux and multi-SoC platforms
• Proven technical ability to lead resolution of complex system-level issues
• Strong system-level debugging skills across software and hardware boundaries
• Experience investigating complex integration issues involving networking, logging systems, drivers, and infrastructure components
• Strong leadership skills, including task planning, prioritization, and team development
• Excellent communication skills with the ability to present complex technical challenges with extreme clarity
• Fluent in English (spoken and written)

Advantage:

• Experience in the automotive industry
• Experience with Vector / CANoe / Autosar
• Experience with automotive validation campaigns

What will your job look like?

• Partner with internal stakeholders (Algorithm and Product Managers) to define data needs and translate them into structured collection plans and catalogs. 
• Lead data projects from the planning stage through execution, coordinating with our driving teams, to final delivery.  
• Build and maintain clear dashboards using BI tools to monitor data quality, validity, and delivery progress in real time.  
• Perform deep-dive research into various data components to identify and resolve anomalies, gaps or bottlenecks in our data pipelines. 
• Improve processes by innovation and outside-the-box thinking, applying AI-driven tools to build creative MVPs and POCs that automate workflows and solve various challenges.  
• Implement high standards for data validation, proactively identify trends, and raise "red flags" to stakeholders when data quality drops.  

All you need is:

• B.Sc. in Industrial Engineering, Statistics, Economics, or a related quantitative field.
• 3–5 years of experience in Data or Product Analytics. 
• Advanced proficiency in SQL and Excel for data querying, manipulation, and research - Must. 
• Proven experience creating actionable dashboards and reports using BI tools (such as PowerBI, Tableau, or similar) – Must. 
• Strong project management skills, with the ability to manage multiple tasks, meet tight deadlines, and coordinate across teams.
• A hands-on approach combined with analytical thinking and a natural curiosity for exploring data.
• Excellent communication skills to confidently present insights and drive data consistency.
• Familiarity with sensors, hardware-software interfaces, or the automotive industry - An advantage. 
• Experience with Linux or Python for data automation - An advantage.  
• Fluent English: spoken and written.

What will your job look like:

• Perform system-level validation of embedded systems, covering both hardware and software, with a strong focus on functional testing
• Design and maintain test environments, including lab setups, test systems, and configurations.
• Write and execute test plans and test cases based on system requirements, including manual and automated tests.
• Validate communication protocols and system interfaces, and perform hardware bring-up and integration testing.
• Install and support debug systems and sensors on development vehicles and assist automotive customers during integration.

All you need is:

• B.Sc. in Electrical Engineering, Electronics Engineering, Communication Systems / Telecommunications Engineering, or equivalent.
• At least 3 years of experience in validation, verification, or QA engineering.
• Proven experience with embedded systems testing.
• Experience working with communication protocols and basic networking concepts (e.g., data flows, interfaces, protocol behavior).
• Hands-on experience with Linux-based systems.
• Experience in test infrastructure, lab environments, and test setups.
• Strong analytical, debugging, and problem-solving skills.
• Strong teamwork abilities and excellent interpersonal communication skills.
• Familiarity with defect tracking and validation tools (e.g., Jira) -an advantage.
• Fluent in English and Hebrew.

What will your job look like?

• Maintain, operate, and continuously evolve large-scale distributed infrastructure platforms serving thousands of Mobileye developers across hybrid environments, including Kubernetes, on-prem systems, and cloud-integrated services.
• Design, implement, and improve infrastructure automation, self-service capabilities, and operational tooling using modern DevOps practices, Infrastructure as Code, GitOps, and CI/CD methodologies.
• Investigate, isolate, and resolve complex infrastructure issues across Kubernetes, Linux, networking, storage, CI/CD, cloud, and on-prem environments, while driving root-cause analysis and long-term improvements.
• Collaborate with cross-functional teams to improve processes, developer experience, operational efficiency, and platform adoption.
• Contribute to a culture of ownership, continuous improvement, knowledge sharing, and proactive problem solving in a fast-paced engineering environment. 

All you need is:

• B.Sc. in Computer Science, Software Engineering or similar.
• 3+ years of work experience as a DevOps Engineer or similar role.
• Experience with containerization and orchestration technologies, particularly Kubernetes (k8s Vanila - advantage).
• Proven system Linux capabilities.
• Knowledge of secure secrets management solutions (Vault, KMS) and compliance best practices.
• Proven experience with designing and writing complex pipelines – Gitlab-CI/Jenkins/Argo-workflows - an advantage.
• Proficiency in automation, scripting, and tool development - Python/bash an advantage.
• Familiarity with MCP (Model Context Protocol) tool experience in designing, extending, or integrating MCP-based workflows - a significant advantage.
• Background in building or integrating AI agents into developer workflows or infrastructure automation pipelines - An advantage.
• Highly motivated to improve processes with an innovative and out-of-the-box perspective.

What will your job look like?

• Install, configure, monitor, troubleshoot and maintain physical and virtual Linux servers.

• Deploy, install, and maintain lab workstations (Windows and Linux) using deployment and imaging tools.

• Provide technical support to internal users including software, permissions, and hardware-related issues.

• Collaborate with networking, Storage, Systems, and Information Security teams to resolve complex technical issues.

• Support engineering lab environments including PCs, NUCs, and testing hardware platforms.

• Contribute to automation initiatives and operational improvements to increase system reliability and efficiency.

• Utilize modern productivity and AI-assisted engineering tools (such as Cursor, Claude, or similar) to improve troubleshooting, scripting, and operational workflows.

All you need is:

• 3+ years of hands-on experience in Linux system administration.

• Experience working with tools such as Ansible, Docker, and monitoring tools.

• Experience with PXE booting, DHCP, OS image creation, and hardware testing (PCs and NUCs).

• Strong scripting and automation skills (Bash, Python, or similar).

• Strong troubleshooting skills and the ability to resolve complex technical issues.

• Experience working with servers, GPUs, or data center environments – advantage.

• Experience working with AI-assisted development or productivity tools (such as Cursor, Claude, ChatGPT, or similar) – advantage.

• Proficiency in English.

What will your job look like?

• Maintain, operate, and continuously evolve large-scale distributed infrastructure platforms serving thousands of Mobileye developers across hybrid environments, including Kubernetes, on-prem systems, and cloud-integrated services.
• Design, implement, and improve infrastructure automation, self-service capabilities, and operational tooling using modern DevOps practices, Infrastructure as Code, GitOps, and CI/CD methodologies.
• Investigate, isolate, and resolve complex infrastructure issues across Kubernetes, Linux, networking, storage, CI/CD, cloud, and on-prem environments, while driving root-cause analysis and long-term improvements.
• Collaborate with cross-functional teams to improve processes, developer experience, operational efficiency, and platform adoption.
• Contribute to a culture of ownership, continuous improvement, knowledge sharing, and proactive problem solving in a fast-paced engineering environment. 

All you need is:

• B.Sc. in Computer Science, Software Engineering or similar.

• 1-2 years of work experience as a DevOps Engineer.

• Experience with containerization and orchestration technologies, particularly Kubernetes - advantage.

• System Linux capabilities.

• Proficiency in automation, scripting, and tool development (Python/bash - an advantage).

• Familiarity with MCP (Model Context Protocol) tool experience in designing, extending, or integrating MCP-based workflows - a significant advantage.

• Background in building or integrating AI agents into developer workflows or infrastructure automation pipelines - an advantage.

• Highly motivated to improve processes with an innovative and out-of-the-box perspective.

What your job will look like:

• Own, manage, and scale observability systems covering both applications and infrastructure.

• Improve our observability platforms to provide deeper insights using metrics, distributed tracing, alerting, and logging.

• Define and implement automation strategies and best practices to ensure service resiliency, optimize performance, and manage costs.

All you need is:

• 3+ years of experience in the administration of Monitoring, APM, and Observability solutions (such as Grafana, Prometheus, Splunk, Zabbix, PagerDuty, or OpenTelemetry).

• Knowledge and hands-on experience with GenAI tools, MCP servers, anomaly detectors, and similar advanced technologies.

• Strong Linux system administration skills.

• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across technical teams.

• Solid understanding of network fundamentals.

• Knowledge of and experience with storage systems.

What your job will look like:

• Own, manage, and scale observability systems covering both applications and infrastructure.

• Improve our observability platforms to provide deeper insights using metrics, distributed tracing, alerting, and logging.

• Define and implement automation strategies and best practices to ensure service resiliency, optimize performance, and manage costs.

All you need is:

• 3+ years of experience in the administration of Monitoring, APM, and Observability solutions (such as Grafana, Prometheus, Splunk, Zabbix, PagerDuty, or OpenTelemetry).

• Knowledge and hands-on experience with GenAI tools, MCP servers, anomaly detectors, and similar advanced technologies.

• Strong Linux system administration skills.

• Excellent communication skills, both verbal and written, with the ability to collaborate effectively across technical teams.

• Solid understanding of network fundamentals.

• Knowledge of and experience with storage systems.